Titlebook: Neural Networks; A Systematic Introdu Raúl Rojas Textbook 1996 Springer-Verlag Berlin Heidelberg 1996 Spline.artificial intelligence.fuzzy

割讓

packet

Unsupervised Learning and Clustering Algorithms,by an external agent, because in many cases we do not even know what solution we should expect from the network. The network itself decides what output is best for a given input and reorganizes accordingly.

鄙視讀作

Isolate

Fast Learning Algorithms,opagation algorithm in the 1980s, together with the development of alternative network topologies, led to the intense outburst of activity which put neural computing back into the mainstream of computer science.

內(nèi)向者

鉗子

manifestation

Genetic Algorithms, [163, 305]. With this class of algorithms an evolution process is simulated in the computer, in the course of which the parameters that produce a minimum or maximum of a function are determined. In this chapter we take a closer look at this technique and explore its applicability to the field of neural networks.

誘使

SEMI

NUDGE

d. Each chapter contains examples, numerous illustrations, and a bibliography. The book is aimed at readers who seek an overview of the field or who wish to deepen their knowledge. It is suitable as a basis for university courses in neurocomputing.978-3-540-60505-8978-3-642-61068-4