CHEMICAL PROCESS IDENTIFICATION WITH MULTIPLE NEURAL NETWORKS

Abstract

International Journal of Computational Engineering ScienceVol. 03, No. 04, pp. 385-407 (2002) No AccessCHEMICAL PROCESS IDENTIFICATION WITH MULTIPLE NEURAL NETWORKSWEN YU and XIAOOU LIWEN YUDepartamento de Control Automático, CINVESTAV-IPN, A.P. 14-740, Av.IPN 2508, México D.F., 07360, MéxicoThis work was supported by conacyt under grants 38505a and 39151a.Fax: +525-747-7089 Search for more papers by this author and XIAOOU LISección de Computación, Departamento de Ingeniería Eléctrica, CINVESTAV-IPN, .P. 14-740, Av.IPN 2508, México D.F., 07360, México Search for more papers by this author https://doi.org/10.1142/S1465876302000691Cited by:5 PreviousNext AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail AbstractIt is difficult to identify some chemical processes which are processed in the complex environments and their operation conditions are frequently modified. In this paper we combine two effective identification tools, multiple models and neural networks and suggest a new identification approach. Hysteresis switch algorithm is applied, in order to select the best model of a set neuro identifiers at each time. The convergence the multiple neuro identifiers is proven. Simulation results show that the multiple neuro identifiers have better performance than those the individual neuro identifier for the pH neutralization and the fermentation process. FiguresReferencesRelatedDetailsCited By 5Models for colour formation in evaporation stations Part 2: A static neural and a recurrent neural modelMaciej Dobrowolski and Jan Iciek1 January 2012 | Sugar IndustrySYNCHRONIZATION OF STOCHASTIC DELAYED NEURAL NETWORKS WITH MARKOVIAN SWITCHING AND ITS APPLICATIONYANG TANG, JIAN-AN FANG, and QING-YING MIAO21 November 2011 | International Journal of Neural Systems, Vol. 19, No. 01Sliding mode neurocontrol for the class of dynamic uncertain non-linear systemsA. Poznyak, I. Chairez and T. Poznyak1 Jan 2008 | International Journal of Control, Vol. 81, No. 1Information Fusion Technique and Its Application to Modeling for Fermentation ProcessesGuiwei Zhang, Lin Bao and Jiang Zhao1 Jan 2006Modeling of pH process using recurrent neural network and wavenetS. Kamat, V. Diwanji, J.G. Smith and K.P. Madhavan Recommended Vol. 03, No. 04 Metrics History PDF download