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. |
Результаты поиска по книге
Результаты 1 – 3 из 23
Стр. 168
... evaluated . Twenty trials were conducted with each of five functions . The first function was termed onemax : The fitness of a solution was simply the number of 1's in the string . The second function was termed plateau : A value of ...
... evaluated . Twenty trials were conducted with each of five functions . The first function was termed onemax : The fitness of a solution was simply the number of 1's in the string . The second function was termed plateau : A value of ...
Стр. 191
... evaluated with respect to how well it fit the observed stimulus - response sequence ; at first , just two observations . That is , the first observation was offered to each model , and the sums of the squared error between the actual ...
... evaluated with respect to how well it fit the observed stimulus - response sequence ; at first , just two observations . That is , the first observation was offered to each model , and the sums of the squared error between the actual ...
Стр. 195
... Evaluate All Models in Light of AIC Conduct Probabilistic Competition / Selection Use Best Model to Drive Plant ( t = t + ... evaluated with respect to how well they fit these data in light of Akaike's information criterion , which also ...
... Evaluate All Models in Light of AIC Conduct Probabilistic Competition / Selection Use Best Model to Drive Plant ( t = t + ... evaluated with respect to how well they fit these data in light of Akaike's information criterion , which also ...
Содержание
NATURAL EVOLUTION | 37 |
COMPUTER SIMULATION | 67 |
37 | 113 |
Авторские права | |
Не показаны другие разделы: 7
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