{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,2]],"date-time":"2022-04-02T23:26:22Z","timestamp":1648941982054},"reference-count":36,"publisher":"Cambridge University Press (CUP)","issue":"4","license":[{"start":{"date-parts":[[2003,11,1]],"date-time":"2003-11-01T00:00:00Z","timestamp":1067644800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["AIEDAM"],"published-print":{"date-parts":[[2003,11]]},"abstract":"<jats:p>Genetic algorithm (GA) and singular value decomposition (SVD) are \ndeployed for the optimal design of both Gaussian membership functions \nof antecedents and the vector of linear coefficients of consequents, \nrespectively, of adaptive neurofuzzy inference systems (ANFIS) networks \nthat are used for modeling of the explosive cutting process of plates \nby shaped charges. The aim of such modeling is to show how the depth of \npenetration varies with the variation of important parameters, namely, \nthe apex angle, standoff, liner thickness, and mass of charge. It is \ndemonstrated that SVD can be effectively used to optimally find the \nvector of linear coefficients of conclusion parts in ANFIS models and \ntheir Gaussian membership functions in premise parts are determined by \na GA.<\/jats:p>","DOI":"10.1017\/s0890060403174033","type":"journal-article","created":{"date-parts":[[2008,4,21]],"date-time":"2008-04-21T10:30:38Z","timestamp":1208773838000},"page":"313-324","source":"Crossref","is-referenced-by-count":6,"title":["Adaptive neurofuzzy inference systems networks design using hybrid \ngenetic and singular value decomposition methods for modeling and \nprediction of the explosive cutting process"],"prefix":"10.1017","volume":"17","author":[{"given":"N.","family":"NARIMAN\u2013ZADEH","sequence":"first","affiliation":[]},{"given":"A.","family":"DARVIZEH","sequence":"additional","affiliation":[]},{"given":"M.H.","family":"DADFARMAI","sequence":"additional","affiliation":[]}],"member":"56","published-online":{"date-parts":[[2003,11,1]]},"reference":[{"key":"S0890060403174033_ref024","unstructured":"Porter, B. & Nariman\u2013Zadeh, N. 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