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[880] TP Vogl, JK Mangis, AK Rigler, WT Zink, and DL Alken Accelerating the Convergence of the Back-Propagation Method Biological Cybernetics, 59:257 263, 1988 [881] M Vogt Combination of Radial Basis Function Neural Networks with Optimized Learning Vector Quantization In Proceedings of the IEEE International Conference on Neural Networks, volume 3, pages 1841 1846, New York, 1993 [882] VP Volny and DM Gordon Genetic Basis for Queen-Worker Dimorphism in a Social Insect Proceedings of the National Academy of Sciences of the United States of America, 99(9):6108 6111, 2002 [883] J Vondras and P Martinek Multi-Criterion Filter Design via Di erential Evolution Method for Function Minimization In Proceedings of the First IEEE International Conference on Circuits and Systems for Communications, pages 106 109, 2002 [884] F-S Wang and J-P Chiou Di erential Evolution for Dynamic Optimization of Di erential-Algebraic Systems In Proceedings of the IEEE International Conference on Evolutionary Computation, pages 531 536, 1997 [885] F-S Wang and H-J Jang Parameter Estimation of a Bioreaction Model by Hybrid Di erential Evolution In Proceedings of the IEEE Congress on Evolutionary Computation, volume 1, pages 410 417, 2000 [886] K-P Wang, L Huang, C-G Zhou, and W Pang Particle Swarm Optimization for Travelling Salesman Problem In Proceedings of International Conference on Machine Learning and Cybernetics, pages 1583 1585, 2003 [887] L Wang, X-P Wang, and Q-D Wu Ant System Algorithm Based Rosenbrock Function Optimization in Multi-Dimension Space In Proceedings of the First International Conference on Machine Learning and Cybernetics, pages 710 714, 2002 [888] LX Wang and JM Mendel Generating Fuzzy Rules by Learning from Examples IEEE Transactions on Systems, Man, and Cybernetics, 22(6):1413 1426, 1992 [889] X Wang, H Dong, and D Chen PID self-tuning control based on evolutionary programming In Proceedings of the Fourth World Congress on Intelligent Control and Automation, volume 4, pages 3132 3135, 2002 [890] A Watkins and J Timmis Arti cial Immune Recognition System (AIRS): Revisions and Re nements In Proceedings of the First International Conference on Artificial Immune Systems, volume 1, pages 173 181, 2002 [891] CJHC Watkins Learning from Delayed Rewards PhD thesis, King s College, Cambridge University, UK, 1989 [892] DJ Watts and SH Strogatz Collective Dynamics of Small-World Networks Nature, 393(6684):440 442, 1998 [893] C Wei, Z He, Y Zheng, and W Pi Swarm Directions Embedded in Fast Evolutionary Programming In Proceedings of the IEEE Congress on Evolutionary Computation, volume 2, pages 1278 1283, May 2002 [894] C Wei, S Yao, and Z He A Modi ed Evolutionary Programming In Proceedings of the IEEE International Conference on Evolutionary Computation, pages 135 138, 1996
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[895] AS Weigend, DE Rumelhart, and BA Huberman Generalization by WeightElimination with Application to Forecasting In R Lippmann, J Moody, and DS Touretzky, editors, Advances in Neural Information Processing Systems, volume 3, pages 875 882, 1991 [896] JY Wen, QH Wu, L Jiang, and SJ Cheng Pseudo-Gradient Based Evolutionary Programming Electronic Letters, 39(7):631 632, 2003 [897] PJ Werbos Beyond Regression: New Tools for Prediction and Analysis in the Behavioural Sciences PhD thesis, Harvard University, Boston, USA, 1974 [898] LFA Wessels and E Barnard Avoiding False Local Minima by Proper Initialization of Connections IEEE Transactions on Neural Networks, 3(6):899 905, 1992 [899] D Wettschereck and T Dietterich Improving the Performance of Radial Basis Function Networks by Learning Center Locations In JE Moody, SJ Hanson, and RP Lippmann, editors, Advances in Neural Information Processing Systems, volume 4, pages 1133 1140, San Mateo, CA, 1992 Morgan Kaufmann [900] CM White and GG Yen A Hybrid Evolutionary Algorithm for TSP In Proceedings of the IEEE Congress on Evolutionary Computation, volume 2, pages 1473 1478, 2004 [901] D White and P Ligomenides GANNet: A Genetic Algorithm for Optimizing Topology and Weights in Neural Network Design In J Mira, J Cabestany, and A Prieto, editors, International Workshop on Artificial Neural Networks, Lecture Notes in Computer Science, volume 686, pages 332 327, Berlin, 1993 Springer-Verlag [902] T White and B Pagurek Towards Multi-Swarm Problem Solving in Networks In Proceedings of the International Conference on Multi-Agent Systems, pages 333 340, 1998 [903] D Whitley A Review of Models for Simple Genetic Algorithms and Cellular Genetic Algorithms In V Rayward-Smith, editor, Applications of Modern Heuristics Methods, pages 55 67, 1995 [904] D Whitley and C Bogart The Evolution of Connectivity: Pruning Neural Networks using Genetic Algorithms In Proceedings of the IEEE International Joint Conference on Neural Networks, volume 1, pages 134 137, 1990 [905] D Whitley, T Starkweather, and D Fuquay Scheduling Problems and the Travelings Salesmen: The Genetic Edge Recombination Operator In Proceedings of the Third International Conference on Genetic Algorithms, pages 116 121 Morgan Kaufmann, 1989 [906] D Whitley and N-W Yu Modeling Simple Genetic Algorithms for Permutation Problems In D Whitley and M Vose, editors, Foundations of Genetic Algorithms, volume 3, pages 163 184, San Mateo, 1995 Morgan Kaufmann [907] B Widrow ADALINE and MADALINE 1963, Plenary Speech In Proceedings of the First IEEE International Joint Conference on Neural Networks, volume 1, pages 148 158, 1987 [908] B Widrow and MA Lehr 30 Years of Neural Networks: Perceptron, Madaline and Backpropagation Proceedings of the IEEE, 78:1415 1442, 1990
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