Titlebook: Learning Systems; Eduard Aved’yan,J. Mason,P. C. Parks Book 1995 Springer-Verlag London Limited 1995 Adaptive control.algorithms.artificia

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書目名稱Learning Systems影響因子(影響力)




書目名稱Learning Systems影響因子(影響力)學科排名




書目名稱Learning Systems網(wǎng)絡公開度




書目名稱Learning Systems網(wǎng)絡公開度學科排名




書目名稱Learning Systems被引頻次




書目名稱Learning Systems被引頻次學科排名




書目名稱Learning Systems年度引用




書目名稱Learning Systems年度引用學科排名




書目名稱Learning Systems讀者反饋




書目名稱Learning Systems讀者反饋學科排名

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978-3-540-19996-0Springer-Verlag London Limited 1995

Enrage

Deterministic Algorithms,e the teacher’s behaviour. This can achieved by means of construction of a model of the teacher’s instructions. The more we know about the teacher’s behaviour the better the possible quality of the learning system.

Senescent

Stochastic Algorithms,) takes the form . where σξ.(.) plays the role of weights in the sum (5.1). The estimate .(.) that provides the minimum for function (5.1) satisfies the equation . and the estimate .(.), obviously, satisfies the equation ..

我說不重要

Multilayer Neural Networks,mory, and learning algorithms. Being designed according to the principles of their biological analogues, multilayer neural networks (MNN) are able to solve a wide range of problems in pattern recognition [1], identification [2], control of complex dynamical non-linear systems [3], [4], robot control [5], etc.

消毒

Identification and Control of Dynamic Systems Using Multilayer Neural Networks,ant is assumed to have known parameterisation but with unknown values of the parameters. The objective is to construct a suitable identification model .. which produces an output .. (.) close to .. (.) in some sense, when subjected to the same input ..(.) as the plant.

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自然環(huán)境

NATTY

Deterministic and Stochastic Algorithms of Optimisation,In the first part of the chapter we shall assume that the teacher’s behaviour is described by a non-linear function and the learning model is also chosen as a non-linear function.

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