AI EDAM: Articial Intelligence for Engineering Design, Analysis and Manufacturing http://journals.cambridge.org/AIE Additional services for AI EDAM: Articial Intelligence for Engineering Design, Analysis and Manufacturing: Email alerts: Click here Subscriptions: Click here Commercial reprints: Click here Terms of use : Click here Adaptive neurofuzzy inference systems networks design using hybrid genetic and singular value decomposition methods for modeling and prediction of the explosive cutting process N. NARIMAN–ZADEH, A. DARVIZEH and M.H. DADFARMAI AI EDAM: Articial Intelligence for Engineering Design, Analysis and Manufacturing / Volume 17 / Issue 04 / November 2003, pp 313 - 324 DOI: 10.1017/S0890060403174033, Published online: 01 November 2003 Link to this article: http://journals.cambridge.org/abstract_S0890060403174033 How to cite this article: N. NARIMAN–ZADEH, A. DARVIZEH and M.H. DADFARMAI (2003). Adaptive neurofuzzy inference systems networks design using hybrid genetic and singular value decomposition methods for modeling and prediction of the explosive cutting process. AI EDAM: Articial Intelligence for Engineering Design, Analysis and Manufacturing, 17, pp 313-324 doi:10.1017/ S0890060403174033 Request Permissions : Click here Downloaded from http://journals.cambridge.org/AIE, IP address: 129.97.124.206 on 31 Mar 2015