Titlebook: Adaptive Control with Recurrent High-order Neural Networks; Theory and Industria George A. Rovithakis,Manolis A. Christodoulou Book 2000 Sp

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書目名稱Adaptive Control with Recurrent High-order Neural Networks被引頻次學科排名




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T4 Bacteriophage as a Model Genetic System,ven pairs of input-output data (which may be related by an unknown algebraic relation, a so-called “static” function) the network is trained to learn the particular input-output map. Theoretical work by several researchers, including Cybenko [16], and Funahashi [24], have proven that, even with one

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T4 Bacteriophage as a Model Genetic System,ctivity, competitiveness and viability. Production scheduling (i.e., organization and control of production operations in manufacturing systems), is essential for the efficient operation of a production environment. Production scheduling actually concerns the efficient allocation over time of resour

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Conjugation and the , Paradigm,This chapter is devoted to the development of indirect adaptive control techniques (based on RHONNs), for controlling nonlinear dynamical systems, with highly uncertain and possibly unknown nonlinearities.

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Advances in Industrial Controlhttp://image.papertrans.cn/a/image/144618.jpg