Skip to main content

Artificial Intelligence Tools

  • Chapter
Intelligent Quality Systems

Part of the book series: Advanced Manufacturing ((ADVMANUF))

  • 121 Accesses

Abstract

This chapter reviews expert systems and neural networks, two of the main artificial intelligence tools that have been applied to quality control tasks in manufacturing. The chapter first discusses the basic components of an expert system and briefly surveys expert system development tools including various commercially available shells and environments. The fundamentals of neural networks are then described. Dififerent neural network architectures and learning strategies are detailed. Examples of applications will be presented in subsequent chapters of the book.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Carting, A. (1992) Introducing Neural Networks, Sigma Press, UK.

    Google Scholar 

  • Carpenter, G.A. and Grossberg, S. (1985) Category learning and adaptive pattern recognition: A neural network model, Proc. of the 3rd Army Conference on Applied Mathematics and Computing, ARO Report 86-1, pp. 37-56.

    Google Scholar 

  • Carpenter, G.A. and Grossberg, S. (1987) ART2. Self-organization of stable category recognition codes for analog input patterns, Applied Optics, 26(23), 4919–4930.

    Article  Google Scholar 

  • Cullen, J. and Bryman, A. (1988) The knowledge acquisition bottleneck: Time for reassessment, Expert Systems, 5(3), 216–225.

    Article  Google Scholar 

  • DARPA (1988) Neural Network Study, Fairfax, VA: AFCEA International, pp. 411–415.

    Google Scholar 

  • Dayhoff, J.E. (1990) Neural Network Architectures, Van Nostrand Reinhold, New York.

    Google Scholar 

  • DeSieno, D. (1988) Adding a conscience to competitive learning, Proc. of the Int. Joint Conf. on Neural Networks, San Diego, California, vol. 1, pp. I-117-I-124.

    Google Scholar 

  • Durkin, J. (1994) Expert Systems Design and Development, Macmillan, New York, NY.

    MATH  Google Scholar 

  • Gersho, A. (1982) On the structure of vector quantizers, IEEE Transactions on Information Theory, IT-28(2), 157–166.

    Article  MathSciNet  Google Scholar 

  • Hopgood, A.A. (1993) Knowledge-Based Systems for Engineers and Scientists, CRC Press, Boca Raton, FL.

    MATH  Google Scholar 

  • Humpert, B. (1990) A comparative study of neural network architectures, Computer Physics Communications, vol. 58, 223–256.

    Article  MathSciNet  Google Scholar 

  • Kama, K.N. and Breen, D.M. (1989) An artificial neural networks tutorial: Part 1 — Basics, Neural Networks, 1(1), 4–23.

    Google Scholar 

  • Kohonen, T. (1984) Self-Organization and Associative Memory, Springer Verlag, New York.

    MATH  Google Scholar 

  • Kohonen, T. (1987) State of the art in neural computing, Proc. of the IEEE First Int. Conf. on Neural Networks, San Diego, 21–24 June 1987, California, vol. 1, pp.77-91.

    Google Scholar 

  • Kohonen, T., Barna, G. and Chrisley, R. (1988) Statistical pattern recognition with neural networks: Benchmarking studies, Proc. of the Int. Joint Conf. on Neural Networks, San Diego, California, vol. 1, pp. I-61-I-68.

    Google Scholar 

  • Kohonen, T. (1990) Self-organizing feature map, Proc. of the IEEE, 78(9), 1464–1480.

    Article  Google Scholar 

  • Lavangnananda, K. (1995) A Framework for Qualitative Model-Based Reasoning about Mechanisms, University of Wales, College of Cardiff, UK.

    Google Scholar 

  • Liebowitz, J. (ed.) (1996) Proc. of the 3rd World Congress on Expert Systems, Seoul, Korea, February 1996.

    Google Scholar 

  • Lippmann, R.P. (1987) An introduction to computing with neural nets, IEEE Acoustics, Speech and Signal Processing Magazine, 4(2), 4–22.

    Google Scholar 

  • Lucas, P. and Van der Gaag, L. (1991) Principles of Expert Systems, Addison Wesley, Reading, MA.

    MATH  Google Scholar 

  • Mackerle, J. (1989) A review of expert system development tools, Engineering Computing, 6(3), 2–17.

    Article  Google Scholar 

  • Martin, J. and Oxman, S. (1988) Building Expert Systems: A Tutorial, Prentice Hall, Englewood Cliffs, N.J.

    MATH  Google Scholar 

  • Masson, E. and Wang. Y.J. (1990) Introduction to computation and learning in artificial neural networks, European J. of Operational Research, vol. 47, pp. 1–28.

    Article  MATH  MathSciNet  Google Scholar 

  • Mettrey, W. (1991) A cooperative evaluation of expert system tools, Computer, 24(2), 19–31.

    Article  Google Scholar 

  • Pham, D.T. (1988) Expert Systems in Engineering, IFS and Springer Verlag, Berlin.

    Google Scholar 

  • Pham, D.T. (1991) Artificial Intelligence in Design, Springer Verlag, Berlin.

    Google Scholar 

  • Pham, D.T. (1994) Artificial intelligence in manufacturing, Proc. Conf. on Applications of Artificial Intelligence Techniques in Engineering, invited lecture, Naples, Italy, October 1994, Chianese, A., Sansone, L., Teti, R. and Zollo, G. (eds.), Liguori Editore, Naples, 5-37.

    Google Scholar 

  • Pham, D.T. and Liu, X. (1995) Neural Networks for Identification, Prediction and Control, Springer Verlag, Berlin and London.

    Google Scholar 

  • Pham, D. T. and Aksoy, M.S. (1995) A new algorithm for inductive learning, J. of Systems Engineering, 5(2), 115–122.

    Google Scholar 

  • Pham, D.T. and Pham, P.T.N. (1988) Expert systems in mechanical and manufacturing engineering, Int. J. of Advanced Manufacturing Technology, 3(3), 3–21.

    Article  MathSciNet  Google Scholar 

  • Price, CJ. (1990) Knowledge Engineering Toolkits, Ellis Horwood, Chichester, England.

    Google Scholar 

  • Price, C. J. and Lee, M. (1988) Deep Knowledge Tutorial and Bibliography, Alvey Report IKBS3/26/048, Artificial Intelligence and Robotics Group, University of Wales, Aberystwyth, UK.

    Google Scholar 

  • Roth, M.W. (1988) Neural network technology and its applications, John Hopkins AppL Tech. Dig., 9(3), 242–253.

    Google Scholar 

  • Rumelhart, D.E., Hinton, G.E. and Williams, R.J. (1986a) Learning representations by backpropagating errors, Nature, vol. 323, pp. 533–536.

    Article  Google Scholar 

  • Rumelhart, D.E., Hinton, G.E. and Williams, R.J. (1986b) Learning internal representations by error propagation, Parallel Distributed Processing, Rumelhart, D. E. and McClelland, J. L. (eds.), Cambridge MA: MIT press, vol. 1, pp. 312–362.

    Google Scholar 

  • Shamsudin, A.Z. and Dillon, T.S. (1991) NetManager: A Real-Time Expert System for Traffic Management, Technical Report #15/91, Dept. of Computer Science and Computer Engineering, La Trobe University.

    Google Scholar 

  • Simpson, P. (1990) Artificial Neural Systems, Pergamon Press, New York.

    Google Scholar 

  • Stevenson, W.J. (1991) The Use of Artificial Neural Nets in Mechanical Engineering, Technical Report #AERO 91/193, Aeronautical Systems Technology, Council for Scientific and Industrial Research, South Africa.

    Google Scholar 

  • Tzafestas, S. (ed.) (1993) Expert Systems in Engineering Applications, Springer Verlag, Berlin and Heidelberg.

    MATH  Google Scholar 

  • Zahedi, F. (1990) A method of quantitative evaluation of expert systems, European J. of Operational Research, vol. 48, pp. 136–147.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 1996 Springer-Verlag London Limited

About this chapter

Cite this chapter

Pham, D.T., Oztemel, E. (1996). Artificial Intelligence Tools. In: Intelligent Quality Systems. Advanced Manufacturing. Springer, London. https://doi.org/10.1007/978-1-4471-1498-7_2

Download citation

  • DOI: https://doi.org/10.1007/978-1-4471-1498-7_2

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-1500-7

  • Online ISBN: 978-1-4471-1498-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics