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adapted through optimization to obtain the desired performance, and (2) the dynamic adaptation method, where both the number of input output space partitions and their corresponding fuzzy rule con gurations are simultaneously and concurrently adapted The main focus of the SOFNN algorithm is the design of an approach for dynamic adaptation of the structure of the hybrid network, so that the underlying behavior of a nonlinear time-varying complex system could be captured in a model that is more accurate, compact, and interpretable For similar performance, the number of fuzzy partitions, and thereby fuzzy rules, can be greatly reduced by cluster-based partitioning of the input output space (Zadeh, 1994) Therefore, for identifying a more compact structure, input output space partitioning based on the traditional clustering approaches, such as hard c-means (HCM) and fuzzy c-means (FCM) (Gonzalez et al, 2002; Klawonn & Keller, 1998; Wang & Lee, 2001), has been proposed. c# pdf 417 reader C# PDF-417 Reader SDK to read, scan PDF-417 in C#.NET class ...
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