Evolutionary Computation: Toward a New Philosophy of Machine IntelligenceIEEE Press, 1995 - Всего страниц: 272 The Third Edition of this internationally acclaimed publication provides the latest theory and techniques for using simulated evolution to achieve machine intelligence. As a leading advocate for evolutionary computation, the author has successfully challenged the traditional notion of artificial intelligence, which essentially programs human knowledge fact by fact, but does not have the capacity to learn or adapt as evolutionary computation does. |
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Стр. xiv
... response surface . The optimization process inherent in selection iteratively improves the quality of these solutions . The rate of improvement is primarily determined by the shape of the response surface , but the procedures generally ...
... response surface . The optimization process inherent in selection iteratively improves the quality of these solutions . The rate of improvement is primarily determined by the shape of the response surface , but the procedures generally ...
Стр. 21
... response surface determined by the set of weights and biases . But this method is likely to discover suboptimal solutions because the response surface is a general nonlinear function and may possess many local optima . Moreover , a grad ...
... response surface determined by the set of weights and biases . But this method is likely to discover suboptimal solutions because the response surface is a general nonlinear function and may possess many local optima . Moreover , a grad ...
Стр. 71
... response surface is atypical of real - world adaptive topographies that are pervasively determined by interactive ... response curve changes from a steady slope to a step function . But the response surface in question here remains a ...
... response surface is atypical of real - world adaptive topographies that are pervasively determined by interactive ... response curve changes from a steady slope to a step function . But the response surface in question here remains a ...
Содержание
NATURAL EVOLUTION | 37 |
COMPUTER SIMULATION | 67 |
37 | 113 |
Авторские права | |
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Другие издания - Просмотреть все
Evolutionary Computation: Toward a New Philosophy of Machine Intelligence David B. Fogel Ограниченный просмотр - 2006 |
Evolutionary Computation: Toward a New Philosophy of Machine Intelligence David B. Fogel Просмотр фрагмента - 2006 |
Evolutionary Computation: Toward a New Philosophy of Machine Intelligence David B. Fogel Недоступно для просмотра - 2006 |
Часто встречающиеся слова и выражения
absorbing adaptive analysis Artificial Intelligence Atmar Bäck best-evolved bit mutation bit strings Bremermann chromosome coding complex components Conf Conrad convergence rate crossover Davis defection defined described distribution dynamic parameter encoding edited environment error evaluated evolution strategies evolutionary algorithms evolutionary computation Evolutionary Programming evolved expert system Figure finite state machines fitness Fogel fuzzy gene genetic algorithm genotype global optimum Gould Holland indicates individual initial input inversion iteration Jong learning Markov chain Mayr mean method Minsky Morgan Kaufmann mutual cooperation natural selection Neural Networks observed offspring operators organisms parents perceptron performance phenotypic play player pleiotropy pole population possible prediction probability problems Proc procedure random variable randomly recombination reproduction response surface samples schemata Schraudolph Schraudolph and Belew Schwefel score sequence solutions specific standard deviation stochastic symbols theoretical tion transition matrix trials two-point uniform crossover vector