-
1
-
-
55549103698
-
KEEL: A software tool to assess evolutionary algorithms to data mining problems
-
Alcalá-Fdez J, Sánchez L, García S, Del Jesus MJ, Ventura S, Garrell JM, Otero J, Romero C, Bacardit J, Rivas VM, Fernández JC, Herrera F (2009) KEEL: a software tool to assess evolutionary algorithms to data mining problems. Soft Comput 13(3): 307-318.
-
(2009)
Soft Comput
, vol.13
, Issue.3
, pp. 307-318
-
-
Alcalá-Fdez, J.1
Sánchez, L.2
García, S.3
Del Jesus, M.J.4
Ventura, S.5
Garrell, J.M.6
Otero, J.7
Romero, C.8
Bacardit, J.9
Rivas, V.M.10
Fernández, J.C.11
Herrera, F.12
-
2
-
-
0036738759
-
Two highly efficient second-order algorithms for training feedforwards networks
-
Ampazis N, Perantonis SJ (2002) Two highly efficient second-order algorithms for training feedforwards networks. IEEE Trans Neural Netw 13(3): 1064-1074.
-
(2002)
IEEE Trans Neural Netw
, vol.13
, Issue.3
, pp. 1064-1074
-
-
Ampazis, N.1
Perantonis, S.J.2
-
3
-
-
56549113284
-
UCI machine learning repository
-
University of California, Irvine, CA
-
Asuncion A, Newman DJ (2007) UCI machine learning repository. School of Information and Computer Science, University of California, Irvine, CA. http://www. ics. uci. edu/~mlearn/MLRepository. html.
-
(2007)
School of Information and Computer Science
-
-
Asuncion, A.1
Newman, D.J.2
-
4
-
-
0031122888
-
Evolutionary computation: Comments on the history and current state
-
Bäck T, Hammel U, Schwefel H (1997) Evolutionary computation: comments on the history and current state. IEEE Trans Evol Comput 1(1): 3-17.
-
(1997)
IEEE Trans Evol Comput
, vol.1
, Issue.1
, pp. 3-17
-
-
Bäck, T.1
Hammel, U.2
Schwefel, H.3
-
6
-
-
0028835062
-
Radial basis function network configuration using genetic algorithms
-
Billings SA, Zheng GL (1995) Radial basis function network configuration using genetic algorithms. Neural Netw 8(6): 877-890.
-
(1995)
Neural Netw
, vol.8
, Issue.6
, pp. 877-890
-
-
Billings, S.A.1
Zheng, G.L.2
-
7
-
-
0000621802
-
Multivariable functional interpolation and adaptive networks
-
Broomhead D, Lowe D (1988) Multivariable functional interpolation and adaptive networks. Complex Syst 2: 321-355.
-
(1988)
Complex Syst
, vol.2
, pp. 321-355
-
-
Broomhead, D.1
Lowe, D.2
-
8
-
-
26844578765
-
Evolutionary optimization of radial basis function classifiers for data mining applications
-
Buchtala O, Klimek M, Sick B (2005) Evolutionary optimization of radial basis function classifiers for data mining applications. IEEE Trans Syst Man Cybern B 35(5): 928-947.
-
(2005)
IEEE Trans Syst Man Cybern B
, vol.35
, Issue.5
, pp. 928-947
-
-
Buchtala, O.1
Klimek, M.2
Sick, B.3
-
11
-
-
0025669403
-
Practical identification of narmax models using radial basis functions
-
Chen S, Billings SA, Cowan CFN, Grant PW (1990) Practical identification of narmax models using radial basis functions. Int J Control 52(6): 1327-1350.
-
(1990)
Int J Control
, vol.52
, Issue.6
, pp. 1327-1350
-
-
Chen, S.1
Billings, S.A.2
Cowan, C.F.N.3
Grant, P.W.4
-
12
-
-
0026116468
-
Orthogonal least squares learning algorithm for radial basis function networks
-
Chen S, Cowan C, Grant P (1991) Orthogonal least squares learning algorithm for radial basis function networks. IEEE Trans Neural Netw 2: 302-309.
-
(1991)
IEEE Trans Neural Netw
, vol.2
, pp. 302-309
-
-
Chen, S.1
Cowan, C.2
Grant, P.3
-
13
-
-
0032594851
-
Combined genetic algorithm optimization and regularized orthogonal least squares learning for radial basis function networks
-
Chen S, Wu Y, Luk BL (1999) Combined genetic algorithm optimization and regularized orthogonal least squares learning for radial basis function networks. IEEE Trans Neural Netw 10(5): 1239-1243.
-
(1999)
IEEE Trans Neural Netw
, vol.10
, Issue.5
, pp. 1239-1243
-
-
Chen, S.1
Wu, Y.2
Luk, B.L.3
-
15
-
-
77951838188
-
Modelling Ranunculus presence in the Rivers test and Itchen using artificial neural networks
-
Greenwich, UK
-
Dawson CW, Wilby RL, Harpham C, Brown MR, Cranston, E, Darby EJ (2000) Modelling Ranunculus presence in the Rivers test and Itchen using artificial neural networks. In: Proceedings of international conference on geocomputation, Greenwich, UK.
-
(2000)
Proceedings of International Conference on Geocomputation
-
-
Dawson, C.W.1
Wilby, R.L.2
Harpham, C.3
Brown, M.R.4
Cranston, E.5
Darby, E.J.6
-
17
-
-
29644438050
-
Statistical Comparisons of Classifiers over Multiple Data Sets
-
Demšar J (2006) Statistical Comparisons of Classifiers over Multiple Data Sets. J Mach Learn Res 7: 1-30.
-
(2006)
J Mach Learn Res
, vol.7
, pp. 1-30
-
-
Demšar, J.1
-
18
-
-
40649090413
-
Time series prediction using evolving radial basis function networks with new enconding scheme
-
Du H, Zhang N (2008) Time series prediction using evolving radial basis function networks with new enconding scheme. Neurocomputing 71: 1388-1400.
-
(2008)
Neurocomputing
, vol.71
, pp. 1388-1400
-
-
Du, H.1
Zhang, N.2
-
19
-
-
19344375792
-
High-speed face recognition base on discrete cosine transform and RBF neural networks
-
Er MJ, Chen W, Wu S (2005) High-speed face recognition base on discrete cosine transform and RBF neural networks. IEEE Trans Neural Netw 16(3): 679-691.
-
(2005)
IEEE Trans Neural Netw
, vol.16
, Issue.3
, pp. 679-691
-
-
Er, M.J.1
Chen, W.2
Wu, S.3
-
20
-
-
2442452950
-
Classical resemblance measures
-
Exploratory methods for extracting statistical information from complex data, Series: studies in classification, data analysis, and knowledge organization, Springer, Berlin
-
Esposito F, Malerba D, Tamma V, Bock HH (2000a) Classical resemblance measures. In: Bock H-H, Diday E (eds) Analysis of symbolic data. Exploratory methods for extracting statistical information from complex data, Series: studies in classification, data analysis, and knowledge organization, vol 15. Springer, Berlin, pp 139-152.
-
(2000)
Analysis of Symbolic Data
, vol.15
, pp. 139-152
-
-
Esposito, F.1
Malerba, D.2
Tamma, V.3
Bock, H.H.4
-
21
-
-
0034233438
-
Approximation of continuous and discontinuous mappings by a growing neural RBF-based algorithm
-
Esposito A, Marinaro M, Oricchio D, Scarpetta S (2000b) Approximation of continuous and discontinuous mappings by a growing neural RBF-based algorithm. Neural Netw 13(6): 651-665.
-
(2000)
Neural Netw
, vol.13
, Issue.6
, pp. 651-665
-
-
Esposito, A.1
Marinaro, M.2
Oricchio, D.3
Scarpetta, S.4
-
22
-
-
0344927103
-
Genetic assisted selection of RBF model structures for greenhouse inside air temperature prediction
-
Ferreira PM, Ruano AE, Fonseca CM (2003) Genetic assisted selection of RBF model structures for greenhouse inside air temperature prediction. IEEE Control Appl 1: 576-581.
-
(2003)
IEEE Control Appl
, vol.1
, pp. 576-581
-
-
Ferreira, P.M.1
Ruano, A.E.2
Fonseca, C.M.3
-
24
-
-
84901425408
-
A GA-based novel RBF classifier with class-dependent features
-
Fu X, Wang L (2002) A GA-based novel RBF classifier with class-dependent features. Proc Congr Evol Comput 2: 1964-1969.
-
(2002)
Proc Congr Evol Comput
, vol.2
, pp. 1964-1969
-
-
Fu, X.1
Wang, L.2
-
25
-
-
0037983742
-
Data dimensionality reduction with application to simplifying RBF network structure and improving classification performance
-
Fu X, Wang L (2003) Data dimensionality reduction with application to simplifying RBF network structure and improving classification performance. IEEE Trans Syst Man Cybern B 33(3): 399-409.
-
(2003)
IEEE Trans Syst Man Cybern B
, vol.33
, Issue.3
, pp. 399-409
-
-
Fu, X.1
Wang, L.2
-
27
-
-
0001903624
-
Genetic algorithms with sharing for multimodal function optimization
-
In: Grefenstette (ed) Lawrence Erlbaum Associates
-
Goldberg D, Richardson J (1987) Genetic algorithms with sharing for multimodal function optimization. In: Grefenstette (ed) Proceedings of second international conference on genetic algorithms. Lawrence Erlbaum Associates, pp 41-49.
-
(1987)
Proceedings of second international conference on genetic algorithms
, pp. 41-49
-
-
Goldberg, D.1
Richardson, J.2
-
29
-
-
0742321288
-
Multiobjective evolutionary optimization of the size, shape, and position parameters of radial basis function networks for function approximation
-
González J, Rojas I, Ortega J, Pomares H, Fernández FJ, Díaz AF (2003) Multiobjective evolutionary optimization of the size, shape, and position parameters of radial basis function networks for function approximation. IEEE Trans Neural Netw 14(6): 1478-1495.
-
(2003)
IEEE Trans Neural Netw
, vol.14
, Issue.6
, pp. 1478-1495
-
-
González, J.1
Rojas, I.2
Ortega, J.3
Pomares, H.4
Fernández, F.J.5
Díaz, A.F.6
-
30
-
-
34249906433
-
Output value-based initialization for radial basis function neural networks
-
doi: 10. 1007/s11063-007-9039-8
-
Guillén A, Pomares H, Rojas I, González J, Herrera LJ, Rojas F, Valenzuela O (2007) Output value-based initialization for radial basis function neural networks. Neural Process Lett. doi: 10. 1007/s11063-007-9039-8.
-
(2007)
Neural Process Lett
-
-
Guillén, A.1
Pomares, H.2
Rojas, I.3
González, J.4
Herrera, L.J.5
Rojas, F.6
Valenzuela, O.7
-
31
-
-
6344287812
-
A review of genetic algorithms applied to training radial basis function networks
-
Harpham C, Dawson C, Brown M (2004) A review of genetic algorithms applied to training radial basis function networks. Neural Comput Appl 13: 193-201.
-
(2004)
Neural Comput Appl
, vol.13
, pp. 193-201
-
-
Harpham, C.1
Dawson, C.2
Brown, M.3
-
32
-
-
0026373082
-
Local training for radial basis function networks: Towards solving the hidden unit problem
-
In:Boston
-
Holcomb T, Morari M (1991) Local training for radial basis function networks: towards solving the hidden unit problem. In: Proceedings of American control conference, Boston.
-
(1991)
Proceedings of American Control Conference
-
-
Holcomb, T.1
Morari, M.2
-
34
-
-
38649125283
-
Adaptive neural network algorithm for control design of rigid-link electrically driven robots
-
Huang SN, Tan KK, Lee TH (2008) Adaptive neural network algorithm for control design of rigid-link electrically driven robots. Neurocomputing 71(4-6): 885-894.
-
(2008)
Neurocomputing
, vol.71
, Issue.4-6
, pp. 885-894
-
-
Huang, S.N.1
Tan, K.K.2
Lee, T.H.3
-
35
-
-
0027266182
-
Functional equivalence between radial basis functions and fuzzy inference systems
-
Jang JSR, Sun CT (1993) Functional equivalence between radial basis functions and fuzzy inference systems. IEEE Trans Neural Netw 4: 156-158.
-
(1993)
IEEE Trans Neural Netw
, vol.4
, pp. 156-158
-
-
Jang, J.S.R.1
Sun, C.T.2
-
36
-
-
0037226313
-
Design of structural modular neural networks with genetic algorithm
-
Jiang N, Zhao ZY, Ren LQ (2003) Design of structural modular neural networks with genetic algorithm. Adv Eng Soft 1: 17-24.
-
(2003)
Adv Eng Soft
, vol.1
, pp. 17-24
-
-
Jiang, N.1
Zhao, Z.Y.2
Ren, L.Q.3
-
37
-
-
0038173250
-
Extracting interpretable fuzzy rules from RBF networks
-
Jin Y, Sendhoff B (2003) Extracting interpretable fuzzy rules from RBF networks. Neural Process Lett 17(2): 149-164.
-
(2003)
Neural Process Lett
, vol.17
, Issue.2
, pp. 149-164
-
-
Jin, Y.1
Sendhoff, B.2
-
39
-
-
0025839504
-
A Gaussian potential function network with hierarchically seft-organising learning
-
Lee S, Kil RM (1991) A Gaussian potential function network with hierarchically seft-organising learning. Neural Netw 4: 207-224.
-
(1991)
Neural Netw
, vol.4
, pp. 207-224
-
-
Lee, S.1
Kil, R.M.2
-
40
-
-
0036254949
-
Detection of small objects in clutter using a GA-RBF neural network
-
Leung H, Dubash N, Xie N (2002) Detection of small objects in clutter using a GA-RBF neural network. IEEE Trans Aero Electr Sys 38(1): 98-118.
-
(2002)
IEEE Trans Aero Electr Sys
, vol.38
, Issue.1
, pp. 98-118
-
-
Leung, H.1
Dubash, N.2
Xie, N.3
-
41
-
-
38349047621
-
Improving multiclass pattern recognition with a co-evolutionary RBFNN
-
Li M, Tian J, Chen F (2008) Improving multiclass pattern recognition with a co-evolutionary RBFNN. Pattern Recogn Lett 29(4): 392-406.
-
(2008)
Pattern Recogn Lett
, vol.29
, Issue.4
, pp. 392-406
-
-
Li, M.1
Tian, J.2
Chen, F.3
-
42
-
-
39449139992
-
Radial basis function neural networks classification for the recognition of idiopathic pulmonary fibrosis in microscopic images
-
Maglogiannis I, Sarimveis H, Kiranoudis CT, Chatziioannou AA, Oikonomou N, Aidinis V (2008) Radial basis function neural networks classification for the recognition of idiopathic pulmonary fibrosis in microscopic images. IEEE Trans Inf Technol B 12(1): 42-54.
-
(2008)
IEEE Trans Inf Technol B
, vol.12
, Issue.1
, pp. 42-54
-
-
Maglogiannis, I.1
Sarimveis, H.2
Kiranoudis, C.T.3
Chatziioannou, A.A.4
Oikonomou, N.5
Aidinis, V.6
-
43
-
-
0016451032
-
An experiment in linguistic synthesis with a fuzzy logic controller
-
Mandani E, Assilian S (1975) An experiment in linguistic synthesis with a fuzzy logic controller. Int J Man Mach Stud 7(1): 1-13.
-
(1975)
Int J Man Mach Stud
, vol.7
, Issue.1
, pp. 1-13
-
-
Mandani, E.1
Assilian, S.2
-
44
-
-
41149089754
-
Radial basis function classifiers to help in the diagnosis of the obstructive sleep apnoea syndrome from nocturnal oximetry
-
Marcos JV, Hornero R, Álvarez D, Del Campo F, López M, Zamarrón C (2008) Radial basis function classifiers to help in the diagnosis of the obstructive sleep apnoea syndrome from nocturnal oximetry. Med Biol Eng Comput 46: 323-332.
-
(2008)
Med Biol Eng Comput
, vol.46
, pp. 323-332
-
-
Marcos, J.V.1
Hornero, R.2
Álvarez, D.3
Del Campo, F.4
López, M.5
Zamarrón, C.6
-
45
-
-
6344254665
-
Combined genetic algorithms and neural network approach for power system transient stability evaluation
-
Moechtar M, Farag AS, Hu L, Cheng TC (1999) Combined genetic algorithms and neural network approach for power system transient stability evaluation. Europ Trans Elect Power 9(2): 115-122.
-
(1999)
Europ Trans Elect Power
, vol.9
, Issue.2
, pp. 115-122
-
-
Moechtar, M.1
Farag, A.S.2
Hu, L.3
Cheng, T.C.4
-
46
-
-
0000672424
-
Fast learning in networks of locally-tuned processing units
-
Moody J, Darken CJ (1989) Fast learning in networks of locally-tuned processing units. Neural Comput 1: 281-294.
-
(1989)
Neural Comput
, vol.1
, pp. 281-294
-
-
Moody, J.1
Darken, C.J.2
-
47
-
-
0026898938
-
On the training of radial basis function classifiers
-
Musavi MT, Ahmed W, Chan KH, Faris KB, Hummels DM (1992) On the training of radial basis function classifiers. Neural Netw 5: 595-603.
-
(1992)
Neural Netw
, vol.5
, pp. 595-603
-
-
Musavi, M.T.1
Ahmed, W.2
Chan, K.H.3
Faris, K.B.4
Hummels, D.M.5
-
48
-
-
27544458557
-
Learning methods for radial basis function networks
-
Neruda R, Kudová P (2005) Learning methods for radial basis function networks. Future Gener Comp Sy 21(7): 1131-1142.
-
(2005)
Future Gener Comp Sy
, vol.21
, Issue.7
, pp. 1131-1142
-
-
Neruda, R.1
Kudová, P.2
-
49
-
-
33751560009
-
Regularization on the selection of radial basis function centers
-
Orr MJL (1995) Regularization on the selection of radial basis function centers. Neural Comput 7: 606-623.
-
(1995)
Neural Comput
, vol.7
, pp. 606-623
-
-
Orr, M.J.L.1
-
50
-
-
0000106040
-
Universal approximation using radial-basis function networks
-
Park J, Sandberg I (1991) Universal approximation using radial-basis function networks. Neural Comput 3: 246-257.
-
(1991)
Neural Comput
, vol.3
, pp. 246-257
-
-
Park, J.1
Sandberg, I.2
-
51
-
-
0001002401
-
Universal approximation and radial basis function network
-
Park J, Sandberg I (1993) Universal approximation and radial basis function network. Neural Comput 5(2): 305-316.
-
(1993)
Neural Comput
, vol.5
, Issue.2
, pp. 305-316
-
-
Park, J.1
Sandberg, I.2
-
52
-
-
0032122726
-
Conditional fuzzy clustering in the design of radial basis function neural networks
-
Pedrycz W (1998) Conditional fuzzy clustering in the design of radial basis function neural networks. IEEE Trans Neural Netw 9(4): 601-612.
-
(1998)
IEEE Trans Neural Netw
, vol.9
, Issue.4
, pp. 601-612
-
-
Pedrycz, W.1
-
53
-
-
37249029174
-
A hybrid forward algorithm for RBF neural network construction
-
Peng JX, Li K, Huang DS (2006) A hybrid forward algorithm for RBF neural network construction. IEEE Trans Neural Netw 17(6): 1439-1451.
-
(2006)
IEEE Trans Neural Netw
, vol.17
, Issue.6
, pp. 1439-1451
-
-
Peng, J.X.1
Li, K.2
Huang, D.S.3
-
55
-
-
55349114949
-
A preliminary study of the effect of feature selection in evolutionary RBFN design
-
In
-
Pérez-Godoy MD, Aguilera JJ, Berlanga FJ, Rivas VM, Rivera AJ (2008) A preliminary study of the effect of feature selection in evolutionary RBFN design. In: Proceedings of information processing and management of uncertainty in knowledge-based system, pp 1151-1158.
-
(2008)
Proceedings of Information Processing and Management of Uncertainty in Knowledge-Based System
, pp. 1151-1158
-
-
Pérez-Godoy, M.D.1
Aguilera, J.J.2
Berlanga, F.J.3
Rivas, V.M.4
Rivera, A.J.5
-
56
-
-
0001071040
-
A resource Allocating Network for Function Interpolation
-
Plat J (1991) A resource allocating network for function interpolation. Neural Comput 3(2): 213-225.
-
(1991)
Neural Comput
, vol.3
, Issue.2
, pp. 213-225
-
-
Plat, J.1
-
57
-
-
0034153728
-
Cooperative coevolution: An architecture for evolving coadapted subcomponents
-
Potter M, De Jong K (2000) Cooperative coevolution: an architecture for evolving coadapted subcomponents. Evol Comput 8(1): 1-29.
-
(2000)
Evol Comput
, vol.8
, Issue.1
, pp. 1-29
-
-
Potter, M.1
de Jong, K.2
-
60
-
-
5144219995
-
Evolving RBF neural networks for time-series forecasting with EvRBF
-
Rivas VM, Merelo JJ, Castillo PA, Arenas MG, Castellanos JG (2004) Evolving RBF neural networks for time-series forecasting with EvRBF. Inf Sci 165(3-4): 207-220.
-
(2004)
Inf Sci
, vol.165
, Issue.3-4
, pp. 207-220
-
-
Rivas, V.M.1
Merelo, J.J.2
Castillo, P.A.3
Arenas, M.G.4
Castellanos, J.G.5
-
62
-
-
33847224122
-
A new Hybrid Methodology for Cooperative-Coevolutionary Optimization of Radial Basis Function Networks
-
doi: 10. 1007/s00500-006-0128-9
-
Rivera AJ, Rojas I, Ortega J, del Jesus MJ (2007) A new hybrid methodology for cooperative-coevolutionary optimization of radial basis function networks. Soft Comput. doi: 10. 1007/s00500-006-0128-9.
-
(2007)
Soft Comput
-
-
Rivera, A.J.1
Rojas, I.2
Ortega, J.3
del Jesus, M.J.4
-
64
-
-
25144499903
-
Statisctical analysis of the main parameters in the definition of radial basis function networks
-
Rojas I, Valenzuela O, Prieto A (1997) Statisctical analysis of the main parameters in the definition of radial basis function networks. Lect Notes Comput Sci 1240: 882-891.
-
(1997)
Lect Notes Comput Sci
, vol.1240
, pp. 882-891
-
-
Rojas, I.1
Valenzuela, O.2
Prieto, A.3
-
65
-
-
0036131648
-
A searching for a solution to the automatic RBF network design problem
-
Sanchez VD (2002) A searching for a solution to the automatic RBF network design problem. Neurocomputing 42: 147-170.
-
(2002)
Neurocomputing
, vol.42
, pp. 147-170
-
-
Sanchez, V.D.1
-
67
-
-
0032024833
-
Genetic algorithm for training dynamical object emulator based on RBF neural network
-
Sergeev SA, Mahotilo KV, Voronovsky GK, Petrashev SN (1998) Genetic algorithm for training dynamical object emulator based on RBF neural network. Int J Appl Electro Mech 9(1): 65-74.
-
(1998)
Int J Appl Electro Mech
, vol.9
, Issue.1
, pp. 65-74
-
-
Sergeev, S.A.1
Mahotilo, K.V.2
Voronovsky, G.K.3
Petrashev, S.N.4
-
68
-
-
0035307307
-
Time-series forecasting using GA-tuned radial basis functions
-
Sheta AF, De Jong K (2001) Time-series forecasting using GA-tuned radial basis functions. Info Sci 133(3-4): 221-228.
-
(2001)
Info Sci
, vol.133
, Issue.3-4
, pp. 221-228
-
-
Sheta, A.F.1
de Jong, K.2
-
69
-
-
0022909661
-
Towards memory-based reasoning, Commun
-
Stanfill C, Waltz D (1986) Towards memory-based reasoning, Commun. ACM 29(12): 1213-1228.
-
(1986)
Acm
, vol.29
, Issue.12
, pp. 1213-1228
-
-
Stanfill, C.1
Waltz, D.2
-
71
-
-
17444384843
-
Optimal partition algorithm of the RBF neural network and its application to financial time series forecasting
-
Sun YF, Liang YC, Zhang WL, Lee HP, Lin WZ, Cao LJ (2005) Optimal partition algorithm of the RBF neural network and its application to financial time series forecasting. Neural Comput Appl 14(1): 36-44.
-
(2005)
Neural Comput Appl
, vol.14
, Issue.1
, pp. 36-44
-
-
Sun, Y.F.1
Liang, Y.C.2
Zhang, W.L.3
Lee, H.P.4
Lin, W.Z.5
Cao, L.J.6
-
73
-
-
38349010878
-
A soft-computing methodology for noninvasive time-spatial temperature estimation
-
Teixeira CA, Ruano MG, Ruano AE, Pereira WCA (2008) A soft-computing methodology for noninvasive time-spatial temperature estimation. IEEE Trans Bio Med Eng 55(2): 572-580.
-
(2008)
IEEE Trans Bio Med Eng
, vol.55
, Issue.2
, pp. 572-580
-
-
Teixeira, C.A.1
Ruano, M.G.2
Ruano, A.E.3
Pereira, W.C.A.4
-
75
-
-
0343603384
-
Model selection using a simplex reproduction genetic algorithm
-
Vesin JM, Gruter R (1999) Model selection using a simplex reproduction genetic algorithm. Sig Process 78: 321-327.
-
(1999)
Sig Process
, vol.78
, pp. 321-327
-
-
Vesin, J.M.1
Gruter, R.2
-
76
-
-
0030197198
-
Cooperative-competitive genetic evolution of radial basis function centers and widths for time series prediction
-
Whitehead B, Choate T (1996) Cooperative-competitive genetic evolution of radial basis function centers and widths for time series prediction. IEEE Trans Neural Netw 7(4): 869-880.
-
(1996)
IEEE Trans Neural Netw
, vol.7
, Issue.4
, pp. 869-880
-
-
Whitehead, B.1
Choate, T.2
-
77
-
-
0025488663
-
30 Years of adaptive neural networks: Perceptron, madaline and backpropagation
-
Widrow B, Lehr MA (1990) 30 Years of adaptive neural networks: perceptron, madaline and backpropagation. Proc IEEE 78(9): 1415-1442.
-
(1990)
Proc IEEE
, vol.78
, Issue.9
, pp. 1415-1442
-
-
Widrow, B.1
Lehr, M.A.2
-
78
-
-
0001899045
-
Improved heterogeneous distance functions
-
Wilson DR, Martinez TR (1997) Improved heterogeneous distance functions. J Artif Intell Res 6(1): 1-34.
-
(1997)
J Artif Intell Res
, vol.6
, Issue.1
, pp. 1-34
-
-
Wilson, D.R.1
Martinez, T.R.2
-
79
-
-
0347090991
-
Dynamics modelling of fluid power systems applying a global error descent algorithm to a selforganising radial basis function network
-
Xue Y, Watton J (1998) Dynamics modelling of fluid power systems applying a global error descent algorithm to a selforganising radial basis function network. Mechatronics 8(7): 727-745.
-
(1998)
Mechatronics
, vol.8
, Issue.7
, pp. 727-745
-
-
Xue, Y.1
Watton, J.2
-
80
-
-
0027574256
-
A review of evolutionary artificial neural networks
-
Yao X (1993) A review of evolutionary artificial neural networks. Int J Intell Syst 8(4): 539-567.
-
(1993)
Int J Intell Syst
, vol.8
, Issue.4
, pp. 539-567
-
-
Yao, X.1
-
81
-
-
0033362601
-
Evolving artificial neural networks
-
Yao X (1999) Evolving artificial neural networks. Proc IEEE 87(9): 1423-1447.
-
(1999)
Proc IEEE
, vol.87
, Issue.9
, pp. 1423-1447
-
-
Yao, X.1
-
82
-
-
33845300246
-
Multi-Objective evolutionary algorithm for radial basis function neural network design
-
Yen GG (2006) Multi-Objective evolutionary algorithm for radial basis function neural network design. Stud Comput Intell 16: 221-239.
-
(2006)
Stud Comput Intell
, vol.16
, pp. 221-239
-
-
Yen, G.G.1
|