Neural computing for numeric-to-symbolic conversion in control systems

A type of neural network, the multilayer perceptron, is used to classify numeric data and assign appropriate symbols to various classes. This numeric-to-symbolic conversion results in a type of information extraction, which is similar to what is called data reduction in pattern recognition. The use of the neural network as a numeric-to-symbolic converter is introduced, its application in autonomous control is discussed, and several applications are studied. The perceptron is used as a numeric-to-symbolic converter for a discrete-event system controller supervising a continuous variable dynamic system. It is also shown how the perceptron can implement fault trees, which provide useful information (alarms) in a biological system and information for failure diagnosis and control purposes in an aircraft example.<<ETX>>

[1]  Richard Lippmann,et al.  Neural Net and Traditional Classifiers , 1987, NIPS.

[2]  Richard P. Lippmann,et al.  An introduction to computing with neural nets , 1987 .

[3]  John J. Hopfield,et al.  Simple 'neural' optimization networks: An A/D converter, signal decision circuit, and a linear programming circuit , 1986 .

[4]  P. Hartman.  Ordinary Differential Equations , 1965 .

[5]  Karl-Erik Årzén,et al.  Expert control , 1986, at - Automatisierungstechnik.

[6]  A. Johnson.  Process Dynamics Estimation and Control , 1985 .

[7]  Donald A. Waterman,et al.  Generalization Learning Techniques for Automating the Learning of Heuristics , 1970, Artif. Intell..

[8]  R. Wilson,et al.  Is Vision a Pattern Recognition Problem? , 1988, Pattern Recognition.

[9]  Milan E. Soklic.  Adaptive model for decision making , 1982, Pattern Recognit..

[10]  Richard E. Barlow,et al.  Reliability and Fault Tree Analysis , 1977 .

[11]  Geoffrey E. Hinton,et al.  Learning internal representations by error propagation , 1986 .

[12]  K.M. Passino,et al.  Autonomous Control Systems: Architecture and Fundamental Issues , 1988, 1988 American Control Conference.

[13]  Ashok K. Goel,et al.  From numbers to symbols to knowledge structures: artificial intelligence perspectives on the classification task , 1988, IEEE Trans. Syst. Man Cybern..

[14]  Panos J. Antsaklis,et al.  Towards intelligent autonomous control systems: Architecture and fundamental issues , 1989, J. Intell. Robotic Syst..