Biomimicry for Optimization, Control, and Automation
作者： Kevin M. Passino
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摘要: Part I: Introduction.- Challenges in Computer Control and Automation.- Scientific Foundations for Biomimicry.- For Further Study.- II: Elements of Decision Making.- Neural Network Substrates Instincts.- Rule-Based Control.- Planning Systems.- Attentional III: Learning.-Learning Linear Least Squares Methods.- Gradient Adaptive IV: Evolution.- The Genetic Algorithm.- Stochastic Non-Gradient Optimization Design.- Evolution Learning: Synergistic Effects.- V: Foraging.- Cooperative Foraging Search.- Competitive Intelligent Study.
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springer.com 参考文章(7)
Juan A. De la Puente, E. F. Camacho, Luis Basañez, Computers for control Published for the International Federation of Automatic Control by Pergamon. ,(2003)
Robert J. Plemmons, Abraham Berman, Nonnegative Matrices in the Mathematical Sciences ,(1979)
Simultaneous Perturbation Stochastic Approximation John Wiley & Sons, Inc.. pp. 176- 207 ,(2005) , 10.1002/0471722138.CH7
Louise Fischer, This is not Art Look: Graduate Book 2004. pp. 11- 14 ,(2004)
Barbara B. Minor, For further study TechTrends. ,vol. 30, pp. 33- 33 ,(1985) , 10.1007/BF02776940
H. H. Rosenbrock, A. G. J. MacFarlane, State-space and multivariable theory, ,(1970)
Barbara Hayes-Roth, Intelligent control Artificial intelligence in perspective. pp. 213- 220 ,(1994)