Neural Networks for Chemical Engineers

Part 1 Theoretical issues: an introduction to artificial neural networks, D.T. Pham unsupervised neural learning, E. Oja back-propagation and its variations, D. Tsaptsinos the general approximation problem for feed-forward neural networks, A.B. Bulsari connectionism vs symbolism - an overview, A.B. Bujosa et al introduction to connectionist computer vision systems, D.W. Moolman et al. Part 2 Applications: lime kiln simulation and control by neural networks, B. Ribeiro and A. Dourado Correia concentration estimation using neural networks and partial conventional models, B. Schenker and M. Agarwal data rectification for dynamic processes using artificial neural networks, T.W. Karjala and D.M. Himmelblau applications of neural networks in process dynamics, A.B. Bulsari process modelling for fault detection using neural networks, T. Fujiwara local modelling as a tool for semi-empirical or semi-mechanistic process modelling, B.A. Foss and T.A. Johansen estimation of measurement error variances and process data reconciliation, C. Aldrich and J.S.J. van Deventer process monitoring and visualization using self-organizing maps, O. Simula and J. Kangas an overview of dynamic system control using neural networks, P. Zufiria nonlinear system identification using neural networks - dynamics and instabilities, R. Rico-Martinez et al pattern-based interpretation of on-line process data, J.F. Davis and C.-M. Wang modelling ill-defined behaviour of reacting systems using neural networks, C. Aldrich and J.S.J. van Deventer global vs local networks in identification and control -a case study of neutralization, M.N. Karim and B. Eikens modelling chemical processes using multiresolution representation neural networks, K. Yoda and T. Furuya the videographic characterisation of flotation froths using neural networks, D.W. Moolman et al fuzzy modelling using two connectionist architectures, J. Zhang and A.J. Morris system identification using elman and Jordan networks, D.T. Pham et al time-series prediction with on-line correction of kalman gain - a connectionist approach, A. Dobnikar et al neural networks based control strategies for a continuous polymerisation reactor, N. Watanabe statistical and neural methods in classification and modelling, E.B. Martin et al clustering and statistical techniques in neural networks, V. Venkatasubramanian and R. Rengaswamy.