{ "item_title" : "Identification of Nonlinear Systems Using Neural Networks and Polynomial Models", "item_author" : [" Andrzej Janczak "], "item_description" : "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 gives a comparative study of their gradient approximation accuracy, computational complexity, and convergence rates and furthermore presents some new and original methods concerning the model parameter adjusting with gradient-based techniques. Identification of Nonlinear Systems Using Neural Networks and Polynomal Models is useful for researchers, engineers and graduate students in nonlinear systems and neural network theory.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/54/023/185/3540231854_b.jpg", "price_data" : { "retail_price" : "109.99", "online_price" : "109.99", "our_price" : "109.99", "club_price" : "109.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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