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

Exaltation

书目名称Computational Intelligence影响因子(影响力)




书目名称Computational Intelligence影响因子(影响力)学科排名




书目名称Computational Intelligence网络公开度




书目名称Computational Intelligence网络公开度学科排名




书目名称Computational Intelligence被引频次




书目名称Computational Intelligence被引频次学科排名




书目名称Computational Intelligence年度引用




书目名称Computational Intelligence年度引用学科排名




书目名称Computational Intelligence读者反馈




书目名称Computational Intelligence读者反馈学科排名

anagen

放逐

Introduction They consist of a large number of fairly simple units, the so-called ., which are working in parallel. These neurons communicate by sending information in the form of activation signals, along directed connections, to each other. A commonly used synonym for “neural network” is the term “connectioni

发现

induct

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Radial Basis Function Networksf layers is always three, that is, there is exactly one hidden layer. In addition, radial basis function networks differ from multi-layer perceptrons in the network input and activation functions, especially in the hidden layer. In this hidden layer . are employed, which are responsible for the name

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Self-organizing Mapsidden layer of a radial basis function network is already the output layer of a self-organizing map. This output layer also has an internal structure, since the neurons are arranged in a grid. The neighborhood relationships resulting from this grid are exploited in the training process in order to d

仲裁者

Hopfield Networksever, we turn to so-called ., that is, networks, the graph of which may contain (directed) cycles. We start with one of the simplest forms, the so-called ., which originated as physical models to describe magnetism. Hopfield networks are indeed closely related to the Ising model of magnetism.

Ingrained

Peak-Bone-Mass

Introduction to Evolutionary Algorithmshich also includes, for example, particle swarm and ant colony optimization, which are inspired by other biological structures and processes, as well as classical methods like simulated annealing, which is inspired by a thermodynamical process. The core principle of evolutionary algorithms is to app