Titlebook: Computational Intelligence; A Methodological Int Rudolf Kruse,Christian Borgelt,Pascal Held Textbook 20131st edition Springer-Verlag London

Obstruction

Springer Tracts in Advanced Roboticsin the network input and activation functions, especially in the hidden layer. In this hidden layer . are employed, which are responsible for the name of this type of neural network. With these functions a kind of “catchment region” is assigned to each neuron, in which it mainly influences the output of the neural network.

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Algorithms for Constrained Optimizationresent . and to solve them (approximately) in a numerical fashion. If the type of differential equation is known that describes a given system, but the values of the parameters appearing in it are unknown, one may also try to train a suitable recurrent network with the help of example patterns in order to determine the system parameters.

COUCH

hardheaded

凝結(jié)劑

intrude

colloquial

Recurrent Networksresent . and to solve them (approximately) in a numerical fashion. If the type of differential equation is known that describes a given system, but the values of the parameters appearing in it are unknown, one may also try to train a suitable recurrent network with the help of example patterns in order to determine the system parameters.

范圍廣

Introduction to Evolutionary Algorithmsas classical methods like simulated annealing, which is inspired by a thermodynamical process. The core principle of evolutionary algorithms is to apply evolution principles like mutation and selection to populations of candidate solutions in order to find a (sufficiently good) solution for a given optimization problem.

artless

憤世嫉俗者

Introduction,n to this field. Among such methods we find artificial neural networks, evolutionary algorithms, and fuzzy systems. Finally, we mention how to use this book and where additional material can be found the Internet.