Titlebook: Identification of Nonlinear Systems Using Neural Networks and Polynomial Models; A Block-Oriented App Andrzej Janczak Book 2005 Springer-Ve

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書(shū)目名稱Identification of Nonlinear Systems Using Neural Networks and Polynomial Models影響因子(影響力)




書(shū)目名稱Identification of Nonlinear Systems Using Neural Networks and Polynomial Models影響因子(影響力)學(xué)科排名




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書(shū)目名稱Identification of Nonlinear Systems Using Neural Networks and Polynomial Models網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




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書(shū)目名稱Identification of Nonlinear Systems Using Neural Networks and Polynomial Models讀者反饋




書(shū)目名稱Identification of Nonlinear Systems Using Neural Networks and Polynomial Models讀者反饋學(xué)科排名

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6 Applications,ve stage sugar evaporation station is studied in Section 6.3. Two nominal models of the process, i.e., a linear model and a neural network Wiener model are developed based on the real process data recorded at the Lublin Sugar Factory in Poland. Finally, Section 6.4 summarizes the results.

散開(kāi)

Book 2005known approaches to the identification of Wiener and Hammerstein systems which are applicable to both neural network and polynomial models. The book gives a comparative study of their gradient approximation accuracy, computational complexity, and convergence rates and furthermore presents some new a

蜈蚣

0170-8643 This monograph systematically presents the existing identification methods of nonlinear systems using the block-oriented approach It surveys various known approaches to the identification of Wiener and Hammerstein systems which are applicable to both neural network and polynomial models. The book gi

必死

4 Polynomial Wiener models,an approach, however, results in inconsistent parameter estimates. As a remedy against this problem, an instrumental variables method is proposed with instrumental variables chosen as delayed system inputs and delayed and powered delayed outputs of the model obtained using the least squares method.

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辮子帶來(lái)幫助

hardness studies the vastly dominant technique is that of static indentation. Now some practical aspects of indentation hardness measurements will be considered. Figure 1.3 shows that in a seemingly arbitrary way indentation hardness values and measurements have been determined by the range of the a

Redundant

Andrzej Janczakhardness studies the vastly dominant technique is that of static indentation. Now some practical aspects of indentation hardness measurements will be considered. Figure 1.3 shows that in a seemingly arbitrary way indentation hardness values and measurements have been determined by the range of the a

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