5 1 upmix software download9/21/2023 The application methods, network construction principles, and optimization algorithms of process neural networks in practical fields, such as nonlinear time-varying system modeling, process signal pattern recognition, dynamic system identification, and process forecast, are discussed in detail. Some theoretical problems such as continuity, functional approximation capability, and computing capability, are closely examined. Process Neural Networks: Theory and Applications Springer 1st Edition JanuISBN-10: 240 pages PDF 19.2 Mb Process Neural Network: Theory and Applications' proposes the concept and model of a process neural network for the first time, showing how it expands the mapping relationship between the input and output of traditional neural networks and enhances the expression capability for practical problems, with broad applicability to solving problems relating to processes in practice. 5 1 Upmix Software Downloads Average ratng: 4,4/5 1703reviews
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