References

Gadewar, S.B., M.F. Doherty and M.F. Malone, 2001. A systematic method for reaction invariants and mole balances for complex chemistries. Comput. Chem. Eng., 25: 1199-1217.
Direct Link  |  

Guner, E., 2003. Adaptive neuro fuzzy inference system applications in chemical processes. M.Sc. Thesis, Middle East Technical University

Hagan, M.T. and M.B. Menhaj, 1994. Training feedforward networks with the Marquardt algorithm. IEEE Trans. Neural Networks, 5: 989-993.
CrossRef  |  

McMillan, G.K. and R.A. Cameron, 2000. Advanced pH Measurement and Control. 3rd Edn., ISA., Brisbane, CA.

McMillan, G.K., 1994. pH Measurement and Control. 2nd Edn., ISA, Brisbane, CA.

Nikhil, B.O., A. Visa, C.Y. Lin, J.A. Puhakka and O. Yli-Harja, 2008. An artificial neural network based model for predicting H2 production rates in a sucrose-based bioreactor system. World Acad. Sci. Eng. Technol., 37: 20-25.
Direct Link  |  

Noagy, H.S., 2009. Prediction of internal temperature in three-phase induction motors with ann. European Transactions on Electrical Power. Johan Wiley and Sons.

Wright, R.A. and C. Kravaris, 2001. On-line identification and nonlinear control of an industrial pH process. J. Process Control, 11: 361-374.
Direct Link  |