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Volumn 7654 LNAI, Issue PART 2, 2012, Pages 453-462

Agent-based approach to RBF network training with floating centroids

Author keywords

A Team; floating centroids; neural networks; population learning algorithm; radial basis function; RBF network

Indexed keywords

A-TEAM; AGENT BASED; AGENT-BASED APPROACH; FLOATING CENTROIDS; LOCAL SEARCH; NETWORK INITIALIZATION; NETWORK TRAINING; OPTIMAL NEURAL NETWORK; POPULATION LEARNING ALGORITHMS; RADIAL BASED FUNCTION; RADIAL BASIS FUNCTIONS; TRAINING PROCESS;

EID: 84870955878     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-34707-8_46     Document Type: Conference Paper
Times cited : (5)

References (24)
  • 1
    • 36948999941 scopus 로고    scopus 로고
    • School of Information and Computer Science, Irvine, CA
    • Asuncion, A., Newman, D.J.: UCI Machine Learning Repository. University of California, School of Information and Computer Science, Irvine, CA (2007), http://www.ics.uci.edu/~mlearn/MLRepository.html
    • (2007) UCI Machine Learning Repository
    • Asuncion, A.1    Newman, D.J.2
  • 2
    • 54549109978 scopus 로고    scopus 로고
    • e-JABAT - An Implementation of the Web-Based A-Team
    • Nguyen, N.T., Jain, I.C. (eds.) Intel. Agents in the Evol. of Web & Appl. Springer, Heidelberg
    • Barbucha, D., Czarnowski, I., Jȩdrzejowicz, P., Ratajczak-Ropel, E., Wierzbowska, I.: e-JABAT - An Implementation of the Web-Based A-Team. In: Nguyen, N.T., Jain, I.C. (eds.) Intel. Agents in the Evol. of Web & Appl. SCI, vol. 167, pp. 57-86. Springer, Heidelberg (2009)
    • (2009) SCI , vol.167 , pp. 57-86
    • Barbucha, D.1    Czarnowski, I.2    Jȩdrzejowicz, P.3    Ratajczak-Ropel, E.4    Wierzbowska, I.5
  • 3
    • 0028835062 scopus 로고
    • Radial basis function networks configuration using genetic algorithms
    • Billings, S.A., Zheng, G.L.: Radial basis function networks configuration using genetic algorithms. Neural Networks 8(6), 877-890 (1995)
    • (1995) Neural Networks , vol.8 , Issue.6 , pp. 877-890
    • Billings, S.A.1    Zheng, G.L.2
  • 5
    • 0000621802 scopus 로고
    • Multivariable Functional Interpolation and Adaptive Networks
    • Broomhead, D.S., Lowe, D.: Multivariable Functional Interpolation and Adaptive Networks. Complex Systems 2, 321-355 (1988)
    • (1988) Complex Systems , vol.2 , pp. 321-355
    • Broomhead, D.S.1    Lowe, D.2
  • 7
    • 84855558393 scopus 로고    scopus 로고
    • Cluster-based Instance Selection for Machine Classification
    • Czarnowski, I.: Cluster-based Instance Selection for Machine Classification. Knowledge and Information Systems 30(1), 113-133 (2012)
    • (2012) Knowledge and Information Systems , vol.30 , Issue.1 , pp. 113-133
    • Czarnowski, I.1
  • 10
    • 0034233438 scopus 로고    scopus 로고
    • Approximation of continuous and discontinuous mappings by a growing neural RBF-based algorithm
    • Esposito, A., Marinaro, M., Oricchio, D., Scarpetta, S.: Approximation of continuous and discontinuous mappings by a growing neural RBF-based algorithm. Neural Networks 13, 651-665 (2000)
    • (2000) Neural Networks , vol.13 , pp. 651-665
    • Esposito, A.1    Marinaro, M.2    Oricchio, D.3    Scarpetta, S.4
  • 11
    • 35348920089 scopus 로고    scopus 로고
    • On Choosing "optimal" Shape Parameters for RBF Approximation
    • Fasshauer, G.E., Zhang, J.G.: On Choosing "optimal" Shape Parameters for RBF Approximation. Numerical Algorithms 45(1-4), 345-368 (2007)
    • (2007) Numerical Algorithms , vol.45 , Issue.1-4 , pp. 345-368
    • Fasshauer, G.E.1    Zhang, J.G.2
  • 12
    • 33745876529 scopus 로고    scopus 로고
    • Training RBF Neural Network with Hybrid Particle Swarm Optimization
    • Wang, J., Yi, Z., Żurada, J.M., Lu, B.-L., Yin, H. (eds.) ISNN 2006. Springer, Heidelberg
    • Gao, H., Feng, B., Hou, Y., Zhu, L.: Training RBF Neural Network with Hybrid Particle Swarm Optimization. In: Wang, J., Yi, Z., Żurada, J.M., Lu, B.-L., Yin, H. (eds.) ISNN 2006. LNCS, vol. 3971, pp. 577-583. Springer, Heidelberg (2006)
    • (2006) LNCS , vol.3971 , pp. 577-583
    • Gao, H.1    Feng, B.2    Hou, Y.3    Zhu, L.4
  • 14
    • 13844256702 scopus 로고    scopus 로고
    • A Generalized Growing and Pruning RBF(GGAP-RBF) Neural Network for Function Approximation
    • Huang, G.-B., Saratchandra, P., Sundararajan, N.: A Generalized Growing and Pruning RBF(GGAP-RBF) Neural Network for Function Approximation. IEEE Transactions on Neural Networks 16(1), 57-67 (2005)
    • (2005) IEEE Transactions on Neural Networks , vol.16 , Issue.1 , pp. 57-67
    • Huang, G.-B.1    Saratchandra, P.2    Sundararajan, N.3
  • 16
    • 0020102027 scopus 로고
    • Least Squares Quantization in PCM
    • Lloyd, S.P.: Least Squares Quantization in PCM. IEEE Trans. Inf. Theory 28, 129-137 (1982)
    • (1982) IEEE Trans. Inf. Theory , vol.28 , pp. 129-137
    • Lloyd, S.P.1
  • 18
    • 34248524673 scopus 로고    scopus 로고
    • Automatic design of growing radial basis function neural networks based on neighbourhood concepts
    • Ros, F., Pintore, M., Chretien, J.: Automatic design of growing radial basis function neural networks based on neighbourhood concepts. Chemometrics and Intelligence Laboratory Systems 87, 231-240 (2007)
    • (2007) Chemometrics and Intelligence Laboratory Systems , vol.87 , pp. 231-240
    • Ros, F.1    Pintore, M.2    Chretien, J.3
  • 21
    • 0343090465 scopus 로고    scopus 로고
    • An Efficient Learning Algorithm for Improving Generalization Performance of Radial Basis Function Neural Networks
    • Wang, Z., Zhu, T.: An Efficient Learning Algorithm for Improving Generalization Performance of Radial Basis Function Neural Networks. Neural Networks 13, 545-553 (2000)
    • (2000) Neural Networks , vol.13 , pp. 545-553
    • Wang, Z.1    Zhu, T.2
  • 22
    • 0032022388 scopus 로고    scopus 로고
    • Performance Evaluation of a Sequential Minimal Radial Basis Function (RBF) Neural Network Learning Algorithm
    • Wei, L.Y., Sundararajan, N., Saratchandran, P.: Performance Evaluation of a Sequential Minimal Radial Basis Function (RBF) Neural Network Learning Algorithm. IEEE Trans. Neural Networks 9, 308-318 (1998)
    • (1998) IEEE Trans. Neural Networks , vol.9 , pp. 308-318
    • Wei, L.Y.1    Sundararajan, N.2    Saratchandran, P.3
  • 23
    • 0030104504 scopus 로고    scopus 로고
    • A global optimization method for neural network training
    • IEEE Computer
    • Shang, Y., Wah, B.W.: A global optimization method for neural network training. In: Conference of Neural Networks, vol. 29, pp. 45-54. IEEE Computer (1996)
    • (1996) Conference of Neural Networks , vol.29 , pp. 45-54
    • Shang, Y.1    Wah, B.W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.