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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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发表于 2025-3-21 19:27:47 | 显示全部楼层 |阅读模式
书目名称Neural Network Engineering in Dynamic Control Systems
编辑Kenneth J. Hunt,George R. Irwin,Kevin Warwick
视频video
丛书名称Advances in Industrial Control
图书封面Titlebook: Neural Network Engineering in Dynamic Control Systems;  Kenneth J. Hunt,George R. Irwin,Kevin Warwick Book 1995 Springer-Verlag London Limi
描述The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology impacts all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies, .... , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. Within the control community there has been much discussion of and interest in the new Emerging Technologies and Methods. Neural networks along with Fuzzy Logic and Expert Systems is an emerging methodology which has the potential to contribute to the development of intelligent control technologies. This volume of some thirteen chapters edited by Kenneth Hunt, George Irwin and Kevin Warwick makes a useful contribution to the literature of neural network methods and applications. The chapters are arranged systematically progressi
出版日期Book 1995
关键词algorithms; architecture; control; control system; control systems; learning systems; model; modeling; neura
版次1
doihttps://doi.org/10.1007/978-1-4471-3066-6
isbn_softcover978-1-4471-3068-0
isbn_ebook978-1-4471-3066-6Series ISSN 1430-9491 Series E-ISSN 2193-1577
issn_series 1430-9491
copyrightSpringer-Verlag London Limited 1995
The information of publication is updating

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Neural Network Engineering in Dynamic Control Systems978-1-4471-3066-6Series ISSN 1430-9491 Series E-ISSN 2193-1577
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Advances in Industrial Controlhttp://image.papertrans.cn/n/image/663685.jpg
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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
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,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
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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
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