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(xué)科排名




書目名稱Learning Systems網(wǎng)絡(luò)公開度




書目名稱Learning Systems網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Learning Systems被引頻次




書目名稱Learning Systems被引頻次學(xué)科排名




書目名稱Learning Systems年度引用




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書目名稱Learning Systems讀者反饋




書目名稱Learning Systems讀者反饋學(xué)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 ..

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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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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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