메뉴 건너뛰기




Volumn 31, Issue 3, 2010, Pages 219-242

Evolutionary fuzzy ARTMAP neural networks and their applications to fault detection and diagnosis

Author keywords

Dynamic decay adjustment; Evolutionary programming; Fault detection and diagnosis; Fuzzy ARTMAP

Indexed keywords

COMPUTER PROGRAMMING; EVOLUTIONARY ALGORITHMS; KNOWLEDGE BASED SYSTEMS; NEURAL NETWORKS;

EID: 84897999809     PISSN: 13704621     EISSN: 1573773X     Source Type: Journal    
DOI: 10.1007/s11063-010-9135-z     Document Type: Article
Times cited : (8)

References (54)
  • 1
    • 0742321288 scopus 로고    scopus 로고
    • 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, Diaz AF (2003) Multiobjective evolutionary optimization of the size, shape, and position parameters of radial basis function networks for function approximation. IEEE Trans Neural Netw 14:1478-1495
    • (2003) IEEE Trans Neural Netw , vol.14 , pp. 1478-1495
    • González, J.1    Rojas, I.2    Ortega, J.3    Pomares, H.4    Fernández, F.J.5    Diaz, A.F.6
  • 2
    • 31744443319 scopus 로고    scopus 로고
    • Genetic programming for simultaneous feature selection and classifier design
    • Muni DP, Pal NR, Das J (2003) Genetic programming for simultaneous feature selection and classifier design. IEEE Trans Syst Man Cybernet B 36:106-117
    • (2003) IEEE Trans Syst Man Cybernet B , vol.36 , pp. 106-117
    • Muni, D.P.1    Pal, N.R.2    Das, J.3
  • 3
    • 0033362601 scopus 로고    scopus 로고
    • Evolving artificial neural networks
    • Yao X (1999) Evolving artificial neural networks. Proc IEEE 87:1423-1447
    • (1999) Proc. IEEE , vol.87 , pp. 1423-1447
    • Yao, X.1
  • 4
    • 0031143030 scopus 로고    scopus 로고
    • A new evolutionary system for evolving artificial neural networks
    • Yao X, Liu Y (1997) A new evolutionary system for evolving artificial neural networks. IEEE Trans Neural Netw 8:694-713
    • (1997) IEEE Trans Neural Netw , vol.8 , pp. 694-713
    • Yao, X.1    Liu, Y.2
  • 5
    • 0037380493 scopus 로고    scopus 로고
    • Genetic design of biologically inspired receptive fields for neural pattern recognition
    • Perez CA, Salinas CA, Estévez PA et al (2003) Genetic design of biologically inspired receptive fields for neural pattern recognition. IEEE Trans Syst Man Cybernet B 33:258-270
    • (2003) IEEE Trans Syst Man Cybernet B , vol.33 , pp. 258-270
    • Perez, C.A.1    Salinas, C.A.2    Estévez, P.A.3
  • 7
    • 26844578765 scopus 로고    scopus 로고
    • 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 Cybernet B 35:928-947
    • (2005) IEEE Trans Syst Man Cybernet B , vol.35 , pp. 928-947
    • Buchtala, O.1    Klimek, M.2    Sick, B.3
  • 8
    • 0242637124 scopus 로고    scopus 로고
    • Combining genetic optimization with hybrid learning algorithm for radial basis function neural networks
    • Guo L, Huang D-S, Zhao W (2003) Combining genetic optimization with hybrid learning algorithm for radial basis function neural networks. Electron Lett 39:1600-1601
    • (2003) Electron Lett , vol.39 , pp. 1600-1601
    • Guo, L.1    Huang, D.-S.2    Zhao, W.3
  • 9
    • 0021776661 scopus 로고
    • A massively parallel architecture for a self-organizing neural pattern recognition machine
    • Carpenter GA, Grossberg S (1987) A massively parallel architecture for a self-organizing neural pattern recognition machine. Comput Vis Graph Image Process 37:54-115
    • (1987) Comput Vis Graph Image Process , vol.37 , pp. 54-115
    • Carpenter, G.A.1    Grossberg, S.2
  • 10
    • 0023981451 scopus 로고
    • The art of adaptive pattern recognition by a self-organising neural network
    • Carpenter GA, Grossberg S (1988) The art of adaptive pattern recognition by a self-organising neural network. IEEE Comput 21:77-88
    • (1988) IEEE Comput , vol.21 , pp. 77-88
    • Carpenter, G.A.1    Grossberg, S.2
  • 11
    • 0026923589 scopus 로고
    • Fuzzy ARTMAP: A neural network architecture for incremental learning of analog multidimensional maps
    • Carpenter GA, Grossberg S, Markuzon N et al (1992) Fuzzy ARTMAP: a neural network architecture for incremental learning of analog multidimensional maps. IEEE Trans Neural Netw 3:698-713
    • (1992) IEEE Trans Neural Netw , vol.3 , pp. 698-713
    • Carpenter, G.A.1    Grossberg, S.2    Markuzon, N.3
  • 13
    • 33748597690 scopus 로고    scopus 로고
    • On the reduction of complexity in the architecture of fuzzy artmap with dynamic decay adjustment
    • Tan SC, Rao MVC, Lim CP (2006) On the reduction of complexity in the architecture of fuzzy artmap with dynamic decay adjustment. Neurocomputing 69:2456-2460
    • (2006) Neurocomputing , vol.69 , pp. 2456-2460
    • Tan, S.C.1    Rao, M.V.C.2    Lim, C.P.3
  • 14
    • 33745834241 scopus 로고    scopus 로고
    • Department of Information and Computer Science University of California, Irvine, CA
    • Hettich S, Blake CL, Merz CJ (1998) UCI repository of machine learning databases http://www.ics.uci.edu/~mlearn/MLRepository.html. Department of Information and Computer Science, University of California, Irvine, CA
    • (1998) UCI Repository of Machine Learning Databases
    • Hettich, S.1    Blake, C.L.2    Merz, C.J.3
  • 16
    • 0037922031 scopus 로고    scopus 로고
    • Exploring the Baldwin effect in evolving adaptable control systems
    • French RF, Sougné JP (eds), Springer, London
    • Bullinaria JA (2001) Exploring the Baldwin effect in evolving adaptable control systems. In: French RF, Sougné JP (eds) Connectionist models of learning, development and evolution. Springer, London, pp 231-242
    • (2001) Connectionist Models of Learning, Development and Evolution , pp. 231-242
    • Bullinaria, J.A.1
  • 17
    • 0038355078 scopus 로고    scopus 로고
    • Evolving efficient learning algorithms for binary mappings
    • Bullinaria JA (2003) Evolving efficient learning algorithms for binary mappings. Neural Netw 16: 793-800
    • (2003) Neural Netw , vol.16 , pp. 793-800
    • Bullinaria, J.A.1
  • 18
    • 0032594851 scopus 로고    scopus 로고
    • 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 10:1239-1243
    • (1999) IEEE Trans Neural Netw , vol.10 , pp. 1239-1243
    • Chen, S.1    Wu, Y.2    Luk, B.L.3
  • 19
    • 0033905229 scopus 로고    scopus 로고
    • On the optimal design of fuzzy neural networks with robust learning for function approximation
    • Tsai H-H, Yu P-T (2000) On the optimal design of fuzzy neural networks with robust learning for function approximation. IEEE Trans Syst Man Cybernet B 30:217-223
    • (2000) IEEE Trans Syst Man Cybernet B , vol.30 , pp. 217-223
    • Tsai, H.-H.1    Yu, P.-T.2
  • 20
    • 0036856769 scopus 로고    scopus 로고
    • Statistical analysis of the parameters of a neurogenetic algorithm
    • Castillo-Valdivieso PA, Merelo JJ, Prieto et al (2002) Statistical analysis of the parameters of a neurogenetic algorithm. IEEE Trans Neural Netw 6:1239-1243
    • (2002) IEEE Trans Neural Netw , vol.6 , pp. 1239-1243
    • Castillo-Valdivieso, P.A.1    Merelo, J.J.2    Prieto3
  • 22
    • 21044438483 scopus 로고    scopus 로고
    • Evolutionary optimization in uncertain environments - A survey
    • Jin Y-C, Branke J (2005) Evolutionary optimization in uncertain environments-a survey. IEEE Trans Evol Comput 9:303-317
    • (2005) IEEE Trans Evol Comput , vol.9 , pp. 303-317
    • Jin, Y.-C.1    Branke, J.2
  • 23
    • 33749473698 scopus 로고
    • Genetic algorithms as a tool for the analysis of adaptive resonance theory network training sets
    • Whitley LD, Schaffer JD (eds), COGANN-92. IEEE Computer Society Press, Los Alamitos
    • Caudell TP (1992) Genetic algorithms as a tool for the analysis of adaptive resonance theory network training sets. In: Whitley LD, Schaffer JD (eds) Proceedings of international workshop on combinations of genetic algorithms and neural networks, COGANN-92. IEEE Computer Society Press, Los Alamitos, pp 184-200
    • (1992) Proceedings of International Workshop on Combinations of Genetic Algorithms and Neural Networks , pp. 184-200
    • Caudell, T.P.1
  • 24
    • 0035422302 scopus 로고    scopus 로고
    • Hybrid evolutionary search method based on clusters
    • Li M, Tam H-Y (2001) Hybrid evolutionary search method based on clusters. IEEE Trans Pattern Anal Mach Intell 23:786-799
    • (2001) IEEE Trans Pattern Anal Mach Intell , vol.23 , pp. 786-799
    • Li, M.1    Tam, H.-Y.2
  • 25
    • 13944271083 scopus 로고    scopus 로고
    • Integration of art2 neural network and genetic k-means algorithm for analyzing web browsing paths in electronic commerce
    • Kuo RJ, Liao JL, Tu C (2005) Integration of art2 neural network and genetic k-means algorithm for analyzing web browsing paths in electronic commerce. Decis Support Syst 40:355-374
    • (2005) Decis Support Syst , vol.40 , pp. 355-374
    • Kuo, R.J.1    Liao, J.L.2    Tu, C.3
  • 26
    • 0036505605 scopus 로고    scopus 로고
    • VEP optimal channel selection using genetic algorithm for neural network classification of alcoholics
    • Palaniappan R, Raveendran P, Omatu S (2002) VEP optimal channel selection using genetic algorithm for neural network classification of alcoholics. IEEE Trans Neural Netw 13:486-491
    • (2002) IEEE Trans Neural Netw , vol.13 , pp. 486-491
    • Palaniappan, R.1    Raveendran, P.2    Omatu, S.3
  • 27
    • 0034217641 scopus 로고    scopus 로고
    • Performance prediction of srm drive systems under normal and fault operating conditions using ga-based ann method
    • Arkadan AA, Sidani PDM, Bouji M (2000) Performance prediction of srm drive systems under normal and fault operating conditions using ga-based ann method. IEEE Trans Magn 36:1945-1949
    • (2000) IEEE Trans Magn , vol.36 , pp. 1945-1949
    • Arkadan, A.A.1    Pdm, S.2    Bouji, M.3
  • 28
    • 0031125086 scopus 로고    scopus 로고
    • Modeling faulted switched reluctance motors using evolutionary neural networks
    • Belfore LA II, Arkadan A-RA (1997) Modeling faulted switched reluctance motors using evolutionary neural networks. IEEE Trans Indus Electron 44:226-233
    • (1997) IEEE Trans Indus Electron , vol.44 , pp. 226-233
    • Belfore, I.I.L.A.1    Arkadan, A.-R.A.2
  • 29
    • 29844455086 scopus 로고    scopus 로고
    • Application of evolutionary neural network in impact acoustics based nondestructive inspection of tile-wall
    • Tong F, Xu X-M, Tso SK et al (2005) Application of evolutionary neural network in impact acoustics based nondestructive inspection of tile-wall. Int Conf Commun Circu Syst 2:974-978
    • (2005) Int Conf Commun Circu Syst , vol.2 , pp. 974-978
    • Tong, F.1    Xu, X.-M.2    Tso, S.K.3
  • 30
    • 34250867328 scopus 로고    scopus 로고
    • Bayesian training of neural networks using genetic programming
    • Marwala T (2007) Bayesian training of neural networks using genetic programming. Pattern Recogn Lett 28:1452-1458
    • (2007) Pattern Recogn Lett , vol.28 , pp. 1452-1458
    • Marwala, T.1
  • 31
    • 24344471817 scopus 로고    scopus 로고
    • Biological engineering applications of feedforward neural networks designed and parameterized by genetic algorithms
    • Ferentinos KP (2005) Biological engineering applications of feedforward neural networks designed and parameterized by genetic algorithms. Neural Netw 18:934-950
    • (2005) Neural Netw , vol.18 , pp. 934-950
    • Ferentinos, K.P.1
  • 32
    • 10844295742 scopus 로고    scopus 로고
    • Application of fuzzy classification by evolutionary neural network in incipient fault detection of power transformer
    • Wang J-G, Shang L,Chen S et al (2004) Application of fuzzy classification by evolutionary neural network in incipient fault detection of power transformer. Int J Conf Neural Netw 3:2279-2283
    • (2004) Int J Conf Neural Netw , vol.3 , pp. 2279-2283
    • Wang, J.-G.1    Shang Lchen, S.2
  • 33
    • 0037501420 scopus 로고    scopus 로고
    • Evolutionary strategy for classification problems and its application in fault diagnostics
    • Chen Z-Y, He Y-Y, Chu F-L et al (2003) Evolutionary strategy for classification problems and its application in fault diagnostics. Eng Appl Artif Intel 16:31-38
    • (2003) Eng Appl Artif Intel , vol.16 , pp. 31-38
    • Chen, Z.-Y.1    He, Y.-Y.2    Chu, F.-L.3
  • 34
    • 0025889915 scopus 로고
    • ARTMAP: Supervised real-time learning and classification of nonstationary data by a self-organizing neural network
    • Carpenter GA, Grossberg S, Reynolds JH (1991) ARTMAP: supervised real-time learning and classification of nonstationary data by a self-organizing neural network. Neural Netw 4:565-588
    • (1991) Neural Netw , vol.4 , pp. 565-588
    • Carpenter, G.A.1    Grossberg, S.2    Reynolds, J.H.3
  • 35
    • 0031098234 scopus 로고    scopus 로고
    • ART neural networks for remote sensing: Vegetation classification from landsat tm and terrain data
    • Carpenter GA, Gjaja MN, Gopal S et al (1997) ART neural networks for remote sensing: vegetation classification from landsat tm and terrain data. IEEE Trans Geosci Remote Sens 35:308-325
    • (1997) IEEE Trans Geosci Remote Sens , vol.35 , pp. 308-325
    • Carpenter, G.A.1    Gjaja, M.N.2    Gopal, S.3
  • 37
    • 84884177055 scopus 로고
    • Genetic algorithms and permutation problems: A comparison of recombination operators for neural net structure specification
    • Baltimore, MD
    • Hancock PJB (1992) Genetic algorithms and permutation problems: a comparison of recombination operators for neural net structure specification. In: Proc COGANN workshop, Baltimore, MD, pp 108-122
    • (1992) Proc COGANN Workshop , pp. 108-122
    • Pjb, H.1
  • 38
    • 0029487318 scopus 로고
    • Building precise classifiers with automatic rule extraction
    • Huber K-P, Berthold MR (1995) Building precise classifiers with automatic rule extraction. Proc IEEE Int Conf Neural Netw 3:1263-1268
    • (1995) Proc. IEEE Int Conf Neural Netw , vol.3 , pp. 1263-1268
    • Huber, K.-P.1    Berthold, M.R.2
  • 39
    • 0031194555 scopus 로고    scopus 로고
    • An incremental adaptive network for on-line supervised learning and probability estimation
    • Lim CP, Harrison RF (1997) An incremental adaptive network for on-line supervised learning and probability estimation. Neural Netw 10:925-939
    • (1997) Neural Netw , vol.10 , pp. 925-939
    • Lim, C.P.1    Harrison, R.F.2
  • 40
    • 26844480248 scopus 로고    scopus 로고
    • An empirical comparison of combinations of evolutionary algorithms and neural networks for classification problems
    • Cantú-Paz E, Kamath C (2005) An empirical comparison of combinations of evolutionary algorithms and neural networks for classification problems. IEEE Trans Syst Man Cybernet B 35:915-1217
    • (2005) IEEE Trans Syst Man Cybernet B , vol.35 , pp. 915-1217
    • Cantú-Paz, E.1    Kamath, C.2
  • 42
    • 3042696026 scopus 로고    scopus 로고
    • Performance of hybrid real coded genetic algorithms
    • Baskar S, Subraraj P, RaoMVC (2001) Performance of hybrid real coded genetic algorithms. Int JComput Eng Sci 2:583-601
    • (2001) Int JComput Eng Sci , vol.2 , pp. 583-601
    • Baskar, S.1    Subraraj, P.2    Rao, M.V.C.3
  • 43
    • 68549099498 scopus 로고    scopus 로고
    • A survey of repair methods used as constraint handling techniques in evolutionary algorithms
    • Salcedo-Sanz S (2009) A survey of repair methods used as constraint handling techniques in evolutionary algorithms. Comput Sci Rev 3:175-192
    • (2009) Comput Sci Rev , vol.3 , pp. 175-192
    • Salcedo-Sanz, S.1
  • 44
    • 8644285354 scopus 로고    scopus 로고
    • Reducing the number of neurons in radial basis function networks with dynamic decay adjustment
    • Paetz J (2004) Reducing the number of neurons in radial basis function networks with dynamic decay adjustment. Neurocomputing 62:79-91
    • (2004) Neurocomputing , vol.62 , pp. 79-91
    • Paetz, J.1
  • 45
    • 0002344794 scopus 로고
    • Bootstrap methods: Another look at the jackknife
    • Efron B (1979) Bootstrap methods: another look at the jackknife. The Annal Stat 7:1-26
    • (1979) The Annal Stat , vol.7 , pp. 1-26
    • Efron, B.1
  • 46
    • 37349032216 scopus 로고    scopus 로고
    • LFOIL: Linguistic rule induction in the label semantics framework
    • Qin Z, Lawry J (2008) LFOIL: linguistic rule induction in the label semantics framework. Fuzzy Sets Syst 159:435-448
    • (2008) Fuzzy Sets Syst , vol.159 , pp. 435-448
    • Qin, Z.1    Lawry, J.2
  • 47
    • 0037291442 scopus 로고    scopus 로고
    • Evolutionary computing for knowledge discovery in medical diagnosis
    • Tan KC, Yu Q, Heng CM, Lee TH (2003) Evolutionary computing for knowledge discovery in medical diagnosis. Artif Intel Med 27:129-154
    • (2003) Artif Intel Med , vol.27 , pp. 129-154
    • Tan, K.C.1    Yu, Q.2    Heng, C.M.3    Lee, T.H.4
  • 50
    • 0000468432 scopus 로고
    • Estimating continuous distributions in Bayesian classifiers
    • McGill University, Montreal, Quebec, Canada. Kaufmann Morgan, San Mateo CA
    • John GH, Langley P (1995) Estimating continuous distributions in Bayesian classifiers. In: Proceedings of the 11th conference on uncertainty in artificial intelligence, McGill University, Montreal, Quebec, Canada. Kaufmann Morgan, San Mateo CA, pp 338-345
    • (1995) Proceedings of the 11th Conference on Uncertainty in Artificial Intelligence , pp. 338-345
    • John, G.H.1    Langley, P.2
  • 53
    • 2942585954 scopus 로고    scopus 로고
    • System description and operating procedures
    • TNB
    • TNB (1999) System description and operating procedures, Prai Power Station Stage 3
    • (1999) Prai Power Station Stage 3
  • 54
    • 2942629149 scopus 로고    scopus 로고
    • Application of an adaptive neural network with symbolic rule extraction to fault detection and diagnosis in a power generation plant
    • Tan SC, Lim CP (2004) Application of an adaptive neural network with symbolic rule extraction to fault detection and diagnosis in a power generation plant. IEEE Trans Energy Conver 19:369-377
    • (2004) IEEE Trans Energy Conver , vol.19 , pp. 369-377
    • Tan, S.C.1    Lim, C.P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.