-
2
-
-
55549145460
-
Interpolation and rate of convergence for a class of neural networks
-
Cao FL, Zhang YQ, He ZR (2009) Interpolation and rate of convergence for a class of neural networks. Appl Math Model 33(3): 1441-1456.
-
(2009)
Appl Math Model
, vol.33
, Issue.3
, pp. 1441-1456
-
-
Cao, F.L.1
Zhang, Y.Q.2
He, Z.R.3
-
3
-
-
77956011925
-
Constructive approximate interpolation by neural networks in the metric space
-
Cao FL, Lin SB, Xu ZB (2010) Constructive approximate interpolation by neural networks in the metric space. Math Comput Model 52: 1674-1681.
-
(2010)
Math Comput Model
, vol.52
, pp. 1674-1681
-
-
Cao, F.L.1
Lin, S.B.2
Xu, Z.B.3
-
4
-
-
84861524095
-
Handwritten character recognition using wavelet energy and extreme learning machine
-
doi: 10. 1007/s13042-011-0049-5
-
Chacko BP, Vimal Krishnan VR, Raju G, Babu Anto P (2011) Handwritten character recognition using wavelet energy and extreme learning machine. Int J Mach Learn Cybern. doi: 10. 1007/s13042-011-0049-5.
-
(2011)
Int J Mach Learn Cybern
-
-
Chacko, B.P.1
Vimal, K.V.R.2
Raju, G.3
Babu, A.P.4
-
5
-
-
0029207175
-
Approximation capability in by multiplayer feedforward networks and related problems
-
Chen TP, Chen H, Liu RW (1995) Approximation capability in by multiplayer feedforward networks and related problems. IEEE Trans Neural Netw 6: 25-30.
-
(1995)
IEEE Trans Neural Netw
, vol.6
, pp. 25-30
-
-
Chen, T.P.1
Chen, H.2
Liu, R.W.3
-
6
-
-
0029343809
-
Universal approximation to nonlinear operators by neural networks with arbitrary activation functions and its application to dynamical systems
-
Chen TP, Chen H (1995) Universal approximation to nonlinear operators by neural networks with arbitrary activation functions and its application to dynamical systems. IEEE Trans Neural Netw 6: 911-917.
-
(1995)
IEEE Trans Neural Netw
, vol.6
, pp. 911-917
-
-
Chen, T.P.1
Chen, H.2
-
8
-
-
11844302947
-
Function approximation on non-Euclidean spaces
-
Corrieu P (2005) Function approximation on non-Euclidean spaces. Neural Netw 18: 91-102.
-
(2005)
Neural Netw
, vol.18
, pp. 91-102
-
-
Corrieu, P.1
-
9
-
-
34249753618
-
Support vector networks
-
Cortes C, Vapnik V (1995) Support vector networks. Mach Learn 20(3): 273-297.
-
(1995)
Mach Learn
, vol.20
, Issue.3
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.2
-
10
-
-
0024861871
-
Approximation by superposition of sigmoidal functions
-
Cybenko G (1989) Approximation by superposition of sigmoidal functions. Math Control Signal Syst 2(4): 303-314.
-
(1989)
Math Control Signal Syst
, vol.2
, Issue.4
, pp. 303-314
-
-
Cybenko, G.1
-
11
-
-
78649492071
-
Ordinal extreme learning machine
-
Deng WY, Zheng QH, Lian SG, Chen L, Wang X (2010) Ordinal extreme learning machine. Neurocomputing 74: 447-456.
-
(2010)
Neurocomputing
, vol.74
, pp. 447-456
-
-
Deng, W.Y.1
Zheng, Q.H.2
Lian, S.G.3
Chen, L.4
Wang, X.5
-
12
-
-
68949200808
-
Error minimized extreme learning machine with growth of hidden nodes and incremental learning
-
Feng GR, Huang GB, Lin QP, Gay R (2009) Error minimized extreme learning machine with growth of hidden nodes and incremental learning. IEEE Trans Neural Netw 20(8): 1352-1357.
-
(2009)
IEEE Trans Neural Netw
, vol.20
, Issue.8
, pp. 1352-1357
-
-
Feng, G.R.1
Huang, G.B.2
Lin, Q.P.3
Gay, R.4
-
13
-
-
0032144731
-
A modified backpropagation method to avoid false local minima
-
Fukuoka Y, Matsuki H, Minamitani H (1998) A modified backpropagation method to avoid false local minima. Neural Netw 11: 1059-1072.
-
(1998)
Neural Netw
, vol.11
, pp. 1059-1072
-
-
Fukuoka, Y.1
Matsuki, H.2
Minamitani, H.3
-
14
-
-
0024866495
-
On the approximate realization of continuous mappings by neural networks
-
Funahashi KI (1989) On the approximate realization of continuous mappings by neural networks. Neural Netw 2: 183-192.
-
(1989)
Neural Netw
, vol.2
, pp. 183-192
-
-
Funahashi, K.I.1
-
15
-
-
84861507356
-
Soft subspace clustering with an improved feature weight self-adjustment mechanism
-
doi: 10. 1007/s13042-011-0039-7
-
Guo GD, Chen S, Chen LF (2011) Soft subspace clustering with an improved feature weight self-adjustment mechanism. Int J Mach Learn Cybern. doi: 10. 1007/s13042-011-0039-7.
-
(2011)
Int J Mach Learn Cybern
-
-
Guo, G.D.1
Chen, S.2
Chen, L.F.3
-
16
-
-
80051584618
-
GPU-accelerated and parallelized ELM ensembles for large-scale regression
-
Heeswijk M, Miche Y, Oja E, Lendasse A (2011) GPU-accelerated and parallelized ELM ensembles for large-scale regression. Neurocomputing 74(16): 2430-2437.
-
(2011)
Neurocomputing
, vol.74
, Issue.16
, pp. 2430-2437
-
-
Heeswijk, M.1
Miche, Y.2
Oja, E.3
Lendasse, A.4
-
17
-
-
0027812765
-
Some new results on neural network approximation
-
Hornik K (1993) Some new results on neural network approximation. Neural Netw 6: 1069-1072.
-
(1993)
Neural Netw
, vol.6
, pp. 1069-1072
-
-
Hornik, K.1
-
18
-
-
10944272650
-
Extreme learning machine: A new learning scheme of feedforward neural networks
-
Budapest, Hungary
-
Huang GB, Zhu QY, Siew CK (2004) Extreme learning machine: a new learning scheme of feedforward neural networks. In: Proceedings of international joint conference on neural networks (IJCNN), vol 2, Budapest, Hungary, pp 985-990.
-
(2004)
Proceedings of International Joint Conference On Neural Networks (IJCNN)
, vol.2
, pp. 985-990
-
-
Huang, G.B.1
Zhu, Q.Y.2
Siew, C.K.3
-
19
-
-
33745903481
-
Extreme learning machine: theory and applications
-
Huang GB, Zhu QY, Siew CK (2006) Extreme learning machine: theory and applications. Neurocomputing 70: 489-501.
-
(2006)
Neurocomputing
, vol.70
, pp. 489-501
-
-
Huang, G.B.1
Zhu, Q.Y.2
Siew, C.K.3
-
20
-
-
33745918399
-
Universal approximation using incremental constructive feedforward networks with random hidden nodes
-
Huang GB, Zhu QY, Siew CK (2006) Universal approximation using incremental constructive feedforward networks with random hidden nodes. IEEE Trans Neural Netw 17(4): 879-892.
-
(2006)
IEEE Trans Neural Netw
, vol.17
, Issue.4
, pp. 879-892
-
-
Huang, G.B.1
Zhu, Q.Y.2
Siew, C.K.3
-
21
-
-
34548158996
-
Convex incremental extreme learning machine
-
Huang GB, Chen L (2007) Convex incremental extreme learning machine. Neurocomputing 70: 3056-3062.
-
(2007)
Neurocomputing
, vol.70
, pp. 3056-3062
-
-
Huang, G.B.1
Chen, L.2
-
22
-
-
56549090053
-
Enhanced random search based incremental extreme learning machine
-
Huang GB, Chen L (2008) Enhanced random search based incremental extreme learning machine. Neurocomputing 71: 3460-3468.
-
(2008)
Neurocomputing
, vol.71
, pp. 3460-3468
-
-
Huang, G.B.1
Chen, L.2
-
23
-
-
78649492473
-
Optimization method based extreme learning machine for classification
-
Huang GB, Ding X, Zhou X (2010) Optimization method based extreme learning machine for classification. Neurocomputing 74: 155-163.
-
(2010)
Neurocomputing
, vol.74
, pp. 155-163
-
-
Huang, G.B.1
Ding, X.2
Zhou, X.3
-
25
-
-
0001553560
-
A function estimation approach to sequential learning with neural networks
-
Kadirkamanathan V, Niranjan M (1993) A function estimation approach to sequential learning with neural networks. Neural Comput 5: 954-975.
-
(1993)
Neural Comput
, vol.5
, pp. 954-975
-
-
Kadirkamanathan, V.1
Niranjan, M.2
-
26
-
-
77954299719
-
Ensemble of online sequential extreme learning machine
-
Lan Y, Soh YC, Huang GB (2009) Ensemble of online sequential extreme learning machine. Neurocomputing 72: 3391-3395.
-
(2009)
Neurocomputing
, vol.72
, pp. 3391-3395
-
-
Lan, Y.1
Soh, Y.C.2
Huang, G.B.3
-
27
-
-
78650310346
-
Constructive hidden nodes selection of extreme learning machine for regression
-
Lan Y, Soh YC, Huang GB (2010) Constructive hidden nodes selection of extreme learning machine for regression. Neurocomputing 73: 3193-3199.
-
(2010)
Neurocomputing
, vol.73
, pp. 3193-3199
-
-
Lan, Y.1
Soh, Y.C.2
Huang, G.B.3
-
28
-
-
78650010629
-
Two-stage extreme learning machine for regression
-
Lan Y, Soh YC, Huang GB (2010) Two-stage extreme learning machine for regression. Neurocomputing 73: 3028-3038.
-
(2010)
Neurocomputing
, vol.73
, pp. 3028-3038
-
-
Lan, Y.1
Soh, Y.C.2
Huang, G.B.3
-
29
-
-
79958130313
-
Robust tensor subspace learning for anomaly detection
-
Li J, Han G, Wen J, Gao XB (2011) Robust tensor subspace learning for anomaly detection. Int J Mach Learn Cybern 2(2): 89-98.
-
(2011)
Int J Mach Learn Cybern
, vol.2
, Issue.2
, pp. 89-98
-
-
Li, J.1
Han, G.2
Wen, J.3
Gao, X.B.4
-
30
-
-
34047174077
-
A fast and accurate online sequential learning algorithm for feedforward networks
-
Liang NY, Huang GB, Saratchandran P, Sundararajan N (2006) A fast and accurate online sequential learning algorithm for feedforward networks. IEEE Trans Neural Netw 17(6): 1411-1423.
-
(2006)
IEEE Trans Neural Netw
, vol.17
, Issue.6
, pp. 1411-1423
-
-
Liang, N.Y.1
Huang, G.B.2
Saratchandran, P.3
Sundararajan, N.4
-
31
-
-
84972916837
-
Serial and parallel backpropagation convergence via nonmonotone perturbed minimization
-
Mangasarian OL, Solodov MV (1994) Serial and parallel backpropagation convergence via nonmonotone perturbed minimization. Optim method Softw 4(2): 103-116.
-
(1994)
Optim Method Softw
, vol.4
, Issue.2
, pp. 103-116
-
-
Mangasarian, O.L.1
Solodov, M.V.2
-
32
-
-
73949154686
-
OP-ELM: optimally pruned extreme learning machine
-
Miche Y, Sorjamaa A, Bas P, Simula O, Jutten C, Lendasse A (2010) OP-ELM: optimally pruned extreme learning machine. IEEE Trans Neural Netw 21(1): 1411-1423.
-
(2010)
IEEE Trans Neural Netw
, vol.21
, Issue.1
, pp. 1411-1423
-
-
Miche, Y.1
Sorjamaa, A.2
Bas, P.3
Simula, O.4
Jutten, C.5
Lendasse, A.6
-
33
-
-
80051671932
-
TROP-ELM: A double-regularized ELM using LARS and Tikhonov regularization
-
Miche Y, Heeswijk M, Bas P, Simula O, Lendasse A (2011) TROP-ELM: A double-regularized ELM using LARS and Tikhonov regularization. Neurocomputing 74(16): 2413-2421.
-
(2011)
Neurocomputing
, vol.74
, Issue.16
, pp. 2413-2421
-
-
Miche, Y.1
Heeswijk, M.2
Bas, P.3
Simula, O.4
Lendasse, A.5
-
34
-
-
77249113732
-
Representing functional data using support vector machines
-
Muńoz A, Gonźlez J (2010) Representing functional data using support vector machines. Pattern Recog Lett 31: 511-516.
-
(2010)
Pattern Recog Lett
, vol.31
, pp. 511-516
-
-
Muńoz, A.1
Gonźlez, J.2
-
35
-
-
0000106040
-
Universal approximation using radial-basis-function networks
-
Park J, Sandberg IW (1991) Universal approximation using radial-basis-function networks. Neural Comput 3(2): 246-257.
-
(1991)
Neural Comput
, vol.3
, Issue.2
, pp. 246-257
-
-
Park, J.1
Sandberg, I.W.2
-
38
-
-
0022471098
-
Learning representations by backpropagation errors
-
Rumelhart DE, Hinton GE, Williams RJ (1986) Learning representations by backpropagation errors. Nature 323: 533-536.
-
(1986)
Nature
, vol.323
, pp. 533-536
-
-
Rumelhart, D.E.1
Hinton, G.E.2
Williams, R.J.3
-
39
-
-
0032594954
-
Input space vs. feature space in kernel-basedmethods
-
Scholkopf B, Mika S, Burges CJC, Knirsch P, Muller KR, Ratsch G (1999) Input space vs. feature space in kernel-basedmethods. IEEE Trans Neural Netw 10(5): 1000-1017.
-
(1999)
IEEE Trans Neural Netw
, vol.10
, Issue.5
, pp. 1000-1017
-
-
Scholkopf, B.1
Mika, S.2
Burges, C.J.C.3
Knirsch, P.4
Muller, K.R.5
Ratsch, G.6
-
40
-
-
17444438778
-
New support vector algorithms
-
Schölkopf B, Smola AJ, Williamson R, Bartlett PL (2000) New support vector algorithms. Neural Comput 12(5): 1207-1245.
-
(2000)
Neural Comput
, vol.12
, Issue.5
, pp. 1207-1245
-
-
Schölkopf, B.1
Smola, A.J.2
Williamson, R.3
Bartlett, P.L.4
-
41
-
-
84868119274
-
Null space based feature selection method for gene expression data
-
doi: 10. 1007/s13042-011-0061-9
-
Sharma A, Imoto S, Miyano S, Sharma V (2011) Null space based feature selection method for gene expression data. Int J Mach Learn Cybern. doi: 10. 1007/s13042-011-0061-9.
-
(2011)
Int J Mach Learn Cybern
-
-
Sharma, A.1
Imoto, S.2
Miyano, S.3
Sharma, V.4
-
43
-
-
67149088596
-
Improving generalization of fuzzy if-then rules by maximizing fuzzy entropy
-
Wang XZ, Dong CR (2009) Improving generalization of fuzzy if-then rules by maximizing fuzzy entropy. IEEE Trans Fuzzy Syst 17(3): 556-567.
-
(2009)
IEEE Trans Fuzzy Syst
, vol.17
, Issue.3
, pp. 556-567
-
-
Wang, X.Z.1
Dong, C.R.2
-
44
-
-
80051593049
-
Upper integral network with extreme learning mechanism
-
Wang XZ, Chen AX, Feng HM (2011a) Upper integral network with extreme learning mechanism. Neurocomputing 74(16): 2520-2525.
-
(2011)
Neurocomputing
, vol.74
, Issue.16
, pp. 2520-2525
-
-
Wang, X.Z.1
Chen, A.X.2
Feng, H.M.3
-
45
-
-
80051669013
-
A study on effectiveness of extreme learning machine
-
Wang YG, Cao FL, Yuan YB (2011b) A study on effectiveness of extreme learning machine. Neurocomputing 74(16): 2483-2490.
-
(2011)
Neurocomputing
, vol.74
, Issue.16
, pp. 2483-2490
-
-
Wang, Y.G.1
Cao, F.L.2
Yuan, Y.B.3
-
46
-
-
81255152339
-
Positive and negative fuzzy rule system, extreme learning machine and image classification
-
Wu J, Wang ST, Chung FL (2011) Positive and negative fuzzy rule system, extreme learning machine and image classification. Int J Mach Learn Cybern 2(4): 261-271.
-
(2011)
Int J Mach Learn Cybern
, vol.2
, Issue.4
, pp. 261-271
-
-
Wu, J.1
Wang, S.T.2
Chung, F.L.3
-
47
-
-
78649659993
-
Convergence analysis of online gradient method for BP neural networks
-
Wu W, Wang J, Cheng MS, Li ZX (2011) Convergence analysis of online gradient method for BP neural networks. Neural Netw 24: 91-98.
-
(2011)
Neural Netw
, vol.24
, pp. 91-98
-
-
Wu, W.1
Wang, J.2
Cheng, M.S.3
Li, Z.X.4
-
48
-
-
0004145769
-
Differential calculus in topological linear spaces
-
Springer, Berlin
-
Yamamuro S (1970) Differential calculus in topological linear spaces. Lect Notes Math, vol 374, Springer, Berlin.
-
(1970)
Lect Notes Math
, vol.374
-
-
Yamamuro, S.1
|