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Part of the book series: NATO ASI Series ((NSSE,volume 305))

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Abstract

A brief overview of artificial intelligence is supplemented with exercises using a commercial neural network shell. The problems are classification of microorganisms and characterization of flow in tanks.

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Additional reading

Expert Systems

  • Anon., “DORIS: An expert system for reactor design”, Chem. Engr. Prog. April 1990 pp. 88– 90

    Google Scholar 

  • Basta, N., S. Ushio, and H. Short “Expert systems - Thinking for the CPI” Chemical Engineering, Mar. 14,1988, pp.26–29

    Google Scholar 

  • Bensen, R. If/Then, The hands-on introduction to artificial intelligence using Lotus 1-2-3, If/Then Solutions, Palo Alto, CA (1987)

    Google Scholar 

  • Bielawski, L., and R. Lewand (1988) Expert Systems Development, Building PC-based Applications, QED Information Sciences, Inc., Wellesley, MA

    Google Scholar 

  • Bungay, H.R. BASIC Environmental Engineering, text and disk with 80 programs, BiLine Assoc., Troy, NY (1988)

    Google Scholar 

  • DeBemardez, E., P. Dhurjati, and D. Lamb, “A Hybrid Heuristics and Mathematical Model Based Expert System to Diagnose Metabolic State of Cells” paper presented at Am. Chem. Soc. National Meeting, Washington, D.C. (1986)

    Google Scholar 

  • Hassan, A. and W. Tank, “Expert system for selection of pumps in the chemical industry”, Chemie Ing. Technik 61 838 (1989)

    Article  CAS  Google Scholar 

  • Hohne, B.A., and T.H. Pierce, “Expert Systems Applications in Chemistry”, ACS Symposium Series No. 408 (1989)

    Google Scholar 

  • Hushon, J.M., “Expert systems for environmental problems”, Environ. Sci. and Technol. 21 838–841 (1987)

    Article  Google Scholar 

  • Hushon, J.M., ed. “Expert systems for environmental applications”, ACS Symposium Series 431 (1990)

    Google Scholar 

  • Jem, K.J., “Spread Sheets & an Expert System for Fermentation Process Optimization” Genetic Engineering News, March 1980 p 12

    Google Scholar 

  • Joseph, B., H-T. Wu, and B. Allan, “Automation of a batch process with expert system shells”, Chem. Engr. Prog. 85: 87–91 (1989)

    Google Scholar 

  • Lapoint, J., B. Marcos, M. Veillette, G. Laflamme, and M. Dumontier, “Bioexpert - an expert system for wastewater treatment process diagnosis”, Computers and Chem. Engr. 13:619–630 (1989)

    Article  Google Scholar 

  • Miller, E.J., K.D. Wilson, and C.R. Lewis, “Expert System Shells: Do they deliver what they promise?”, Chem. Engr. Prog. 84: 37–44 (1988)

    Google Scholar 

  • Patry, G.C., and D.T. Chapman, “Dynamic Modelling and expert systems in wastewater engineering” Lewis Publishers (1989)

    Google Scholar 

  • Raeth, P.G., editor, “Expert Systems —A Software Methodology for Modem Applications”, IEEE ISBN 0-8186-8904-8 (1990)

    Google Scholar 

NEURAL NETWORKS

  • Bhagat, P., “An introduction to neural nets”, Chem. Engr. Prog. August 1990, pp. 55-60

    Google Scholar 

  • Borgman, S., “Neural network applications in chemistry begin to appear”, Chem. Engr. News, April 24,1989,24-28

    Google Scholar 

  • Bungay, H.R. and M.L. Bungay, “Identifying Microorganisms with a Neural Network”, BINARY, 13:51–52(1991)

    Google Scholar 

  • Hoskins, J.C., and D.M. Himmelblau, “Artificial neural network models of knowledge Representation in Chemical Engineering”, Computers in Chem. Engr. 12: 881–890 (1988)

    Article  CAS  Google Scholar 

  • Obermeier, K.K. and J.J. Barron, “Time to get fired up” Byte, Aug. 1989, pp. 217–224

    Google Scholar 

  • Petersen, S., H. Bohr, J. Bohr, S. Brunak, R.M.J. Cotterill, H. Fredholm, and B. Lautrup, “Training neural networks to analyse biological sequences”, Trends in Biotechnol. 8:304–308 (1990)

    Article  CAS  Google Scholar 

  • Thibault, J., V. Van Breusegem, and A. Cheruy, “On-line prediction of fermentation variables using neural networks”, Biotechnol. Bioengr. 36: 1041–1048(1990)

    Article  CAS  Google Scholar 

  • Touretzky, D.S. and D.A. Pomerleau, “What’s in the hidden layers”, Byte, Aug. 1989, pp. 227–233

    Google Scholar 

  • Wantanabe, K., I. Matsuura, M. Abe, M. Kubota, and D.M. Himmelblau, “Incipient Faule Diagnosis of Chemical Processes via Artifficial Neural Networks”, AIChE Journal, 35:1803– 1812(1989)

    Article  Google Scholar 

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© 1996 Kluwer Academic Publishers

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Bungay, H.R. (1996). Introduction to Artificial Intelligence. In: Moreira, A.R., Wallace, K.K. (eds) Computer and Information Science Applications in Bioprocess Engineering. NATO ASI Series, vol 305. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-0177-3_5

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  • DOI: https://doi.org/10.1007/978-94-009-0177-3_5

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-6564-1

  • Online ISBN: 978-94-009-0177-3

  • eBook Packages: Springer Book Archive

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