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Volumn 11, Issue 2, 2011, Pages 2326-2333

MIMO CMAC neural network classifier for solving classification problems

Author keywords

Cerebellar model articulation controller; Classification; Machine learning; Neural network classifier

Indexed keywords

ANALYTICAL TECHNIQUES; ANALYTICAL TOOL; BENCHMARK DATASETS; CEREBELLAR MODEL ARTICULATION CONTROLLER; CLASSIFICATION; CLASSIFICATION METHODS; CLASSIFICATION TASKS; CMAC NEURAL NETWORK; DATA SETS; DATA-DRIVEN; FAST LEARNING; GENERALIZATION ABILITY; MACHINE-LEARNING; MEDICAL DECISION MAKING; MULTIPLE INPUT AND MULTIPLE OUTPUTS; NETWORK TOPOLOGY; NEURAL NETWORK CLASSIFIER; NOISE RESISTANCE; NUMERICAL RESULTS; RESEARCH DOMAINS; STATISTICAL CLASSIFIER; UCI MACHINE LEARNING REPOSITORY;

EID: 78751619171     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2010.08.013     Document Type: Conference Paper
Times cited : (31)

References (28)
  • 1
    • 0016556021 scopus 로고
    • A new approach to manipulator control: The cerebellar model articulation controller (CMAC)
    • J.S. Albus A new approach to manipulator control: the cerebellar model articulation controller (CMAC) ASME Journal of Dynamic Systems, Measurement, and Control 97 1975 220 227
    • (1975) ASME Journal of Dynamic Systems, Measurement, and Control , vol.97 , pp. 220-227
    • Albus, J.S.1
  • 3
    • 0003408496 scopus 로고    scopus 로고
    • University of California, Department of Information and Computer Science Irvine, CA
    • C.L. Blake, and C.J. Merz UCI Repository of Machine Learning Databases 1998 University of California, Department of Information and Computer Science Irvine, CA http://www.ics.uci.edu/∼mlearn/mlrepository.html
    • (1998) UCI Repository of Machine Learning Databases
    • Blake, C.L.1    Merz, C.J.2
  • 4
    • 0035247432 scopus 로고    scopus 로고
    • A comparison of linear genetic programming and neural networks in medical data mining
    • M. Brameier, and W. Banzhaf A comparison of linear genetic programming and neural networks in medical data mining IEEE Transactions on Evolutionary Computation 5 2001 17 26
    • (2001) IEEE Transactions on Evolutionary Computation , vol.5 , pp. 17-26
    • Brameier, M.1    Banzhaf, W.2
  • 5
    • 0036079474 scopus 로고    scopus 로고
    • Discovering interesting classification rules with genetic programming
    • I. de Falco, A.D. Cioppa, and E. Tarantino Discovering interesting classification rules with genetic programming Applied Soft Computing 1 2002 257 269
    • (2002) Applied Soft Computing , vol.1 , pp. 257-269
    • De Falco, I.1    Cioppa, A.D.2    Tarantino, E.3
  • 6
    • 0025414878 scopus 로고
    • Integrating neural networks and knowledge-based systems for intelligent robotic control
    • D.A. Handelman, S.H. Lane, and J.J. Gelfand Integrating neural networks and knowledge-based systems for intelligent robotic control IEEE Control Systems Magazine 10 1990 77 87
    • (1990) IEEE Control Systems Magazine , vol.10 , pp. 77-87
    • Handelman, D.A.1    Lane, S.H.2    Gelfand, J.J.3
  • 7
    • 3943080001 scopus 로고    scopus 로고
    • Diagnosis of incipient faults in power transformers using CMAC neural network approach
    • C.P. Hung, and M.H. Wang Diagnosis of incipient faults in power transformers using CMAC neural network approach Electric Power Systems Research 71 2004 235 244
    • (2004) Electric Power Systems Research , vol.71 , pp. 235-244
    • Hung, C.P.1    Wang, M.H.2
  • 9
    • 0030261802 scopus 로고    scopus 로고
    • Measurement of machine performance degradation using a neural network model
    • J. Lee Measurement of machine performance degradation using a neural network model Computers in Industry 30 1996 193 209
    • (1996) Computers in Industry , vol.30 , pp. 193-209
    • Lee, J.1
  • 10
    • 48749127625 scopus 로고    scopus 로고
    • A novel hybrid learning algorithm for parametric fuzzy CMAC networks and its classification applications
    • C.J. Lin, J.H. Lee, and C.Y. Lee A novel hybrid learning algorithm for parametric fuzzy CMAC networks and its classification applications Expert Systems with Applications 35 2008 1711 1720
    • (2008) Expert Systems with Applications , vol.35 , pp. 1711-1720
    • Lin, C.J.1    Lee, J.H.2    Lee, C.Y.3
  • 11
    • 34248630846 scopus 로고    scopus 로고
    • RCMAC hybrid control for MIMO uncertain nonlinear systems using sliding-mode technology
    • C.M. Lin, L.Y. Chen, and C.H. Chen RCMAC hybrid control for MIMO uncertain nonlinear systems using sliding-mode technology IEEE Transactions on Neural Networks 18 2007 708 720
    • (2007) IEEE Transactions on Neural Networks , vol.18 , pp. 708-720
    • Lin, C.M.1    Chen, L.Y.2    Chen, C.H.3
  • 13
    • 33746901239 scopus 로고    scopus 로고
    • The use of artificial neural networks in decision support in cancer: A systematic review
    • P.J. Lisboa, and A.F.G. Taktak The use of artificial neural networks in decision support in cancer: a systematic review Neural Networks 19 2006 408 415
    • (2006) Neural Networks , vol.19 , pp. 408-415
    • Lisboa, P.J.1    Taktak, A.F.G.2
  • 14
    • 23144441557 scopus 로고    scopus 로고
    • Design and implementation of CMAC-based controller for permanent magnet synchronous motor
    • H.C. Lu, and T.Y. Tseng Design and implementation of CMAC-based controller for permanent magnet synchronous motor Electric Power Components and Systems 33 2005 1015 1037
    • (2005) Electric Power Components and Systems , vol.33 , pp. 1015-1037
    • Lu, H.C.1    Tseng, T.Y.2
  • 15
    • 40649126091 scopus 로고    scopus 로고
    • Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance
    • M.A. Mazurowski, P.A. Habas, J.M. Zurada, J.Y. Lo, J.A. Baker, and G.D. Tourassi Training neural network classifiers for medical decision making: the effects of imbalanced datasets on classification performance Neural Networks 21 2008 427 436
    • (2008) Neural Networks , vol.21 , pp. 427-436
    • Mazurowski, M.A.1    Habas, P.A.2    Zurada, J.M.3    Lo, J.Y.4    Baker, J.A.5    Tourassi, G.D.6
  • 17
    • 45849130515 scopus 로고    scopus 로고
    • A reduced and comprehensible polynomial network for classification
    • B.B. Misra, S. Dehuri, P.K. Dash, and G. Panda A reduced and comprehensible polynomial network for classification Pattern Recognition Letters 29 2008 1705 1712
    • (2008) Pattern Recognition Letters , vol.29 , pp. 1705-1712
    • Misra, B.B.1    Dehuri, S.2    Dash, P.K.3    Panda, G.4
  • 20
    • 60649093334 scopus 로고    scopus 로고
    • Robust intelligent sliding model control using recurrent cerebellar model articulation controller for uncertain nonlinear chaotic systems
    • Y.F. Peng Robust intelligent sliding model control using recurrent cerebellar model articulation controller for uncertain nonlinear chaotic systems Chaos, Solitons & Fractals 39 2009 150 167
    • (2009) Chaos, Solitons & Fractals , vol.39 , pp. 150-167
    • Peng, Y.F.1
  • 22
    • 0036902547 scopus 로고    scopus 로고
    • Self-adaptive neuro-fuzzy inference systems for classification applications
    • J.S. Wang, and C.S.G. Lee Self-adaptive neuro-fuzzy inference systems for classification applications IEEE Transactions on Fuzzy Systems 10 2002 790 802
    • (2002) IEEE Transactions on Fuzzy Systems , vol.10 , pp. 790-802
    • Wang, J.S.1    Lee, C.S.G.2
  • 23
    • 2342540974 scopus 로고    scopus 로고
    • Valve fault detection and diagnosis based on CMAC neural networks
    • S. Wang, and Z. Jiang Valve fault detection and diagnosis based on CMAC neural networks Energy and Buildings 36 2004 599 610
    • (2004) Energy and Buildings , vol.36 , pp. 599-610
    • Wang, S.1    Jiang, Z.2
  • 24
    • 59649126172 scopus 로고    scopus 로고
    • Classification of ECG complexes using self-organizing CMAC
    • C. Wen, T.C. Lin, K.C. Chang, and C.H. Huang Classification of ECG complexes using self-organizing CMAC Measurement 42 2009 399 407
    • (2009) Measurement , vol.42 , pp. 399-407
    • Wen, C.1    Lin, T.C.2    Chang, K.C.3    Huang, C.H.4
  • 27
    • 2942652396 scopus 로고    scopus 로고
    • Feature selection for modular GA-based classification
    • F. Zhu, and S. Guan Feature selection for modular GA-based classification Applied Soft Computing 4 2004 381 393
    • (2004) Applied Soft Computing , vol.4 , pp. 381-393
    • Zhu, F.1    Guan, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.