Titlebook: Neural Network Engineering in Dynamic Control Systems; Kenneth J. Hunt,George R. Irwin,Kevin Warwick Book 1995 Springer-Verlag London Limi

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書目名稱Neural Network Engineering in Dynamic Control Systems影響因子(影響力)




書目名稱Neural Network Engineering in Dynamic Control Systems影響因子(影響力)學(xué)科排名




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書目名稱Neural Network Engineering in Dynamic Control Systems讀者反饋學(xué)科排名

Glycogen

Neural Network Engineering in Dynamic Control Systems978-1-4471-3066-6Series ISSN 1430-9491 Series E-ISSN 2193-1577

insular

Advances in Industrial Controlhttp://image.papertrans.cn/n/image/663685.jpg

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phytochemicals

agonist

Local Model Architectures for Nonlinear Modelling and Control,aviour. Simple, locally accurate models are used to represent a globally complex process. The framework supports the modelling process in real applications better than most artificial neural network architectures. This paper shows how their structure also allows them to more easily integrate knowled

率直

,On ASMOD — An Algorithm for Empirical Modelling using Spline Functions,ciples of the ASMOD algorithm, including some improvements on the original algorithm. The ASMOD algorithm uses B-splines for representing general nonlinear models of several variables. The internal structure of the model is, through an incremental refinement procedure, automatically adapted to the d

LURE

Semi-Empirical Modeling of Non-Linear Dynamic Systems through Identification of Operating Regimes a a number of simple local models, where the validity of each local model is restricted to an operating regime, but where the local models yield a complete global model when interpolated. The input to the algorithm is a sequence of empirical data and a set of candidate local model structures. The alg