Neural computing: theory and practice
Neural computing: theory and practice
Knowledge systems through Prolog: an introduction
Knowledge systems through Prolog: an introduction
An introduction to neural computing
An introduction to neural computing
Introduction to knowledge systems
Introduction to knowledge systems
Advanced Methods in Neural Computing
Advanced Methods in Neural Computing
Techniques of Prolog Programming: With Implementation of Logical Negation and Quantified Goals
Techniques of Prolog Programming: With Implementation of Logical Negation and Quantified Goals
PROLOG; A Logical Approach
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Many colleges and universities teach courses in the design and implementation of so-called expert systems. Such a course might include discussions of topics from traditional (symbolic) artificial intelligence, and culminate in the construction of a prototypical rule-based system. In general, the emphasis is on the use of knowledge compiled and encoded by the designer. Here, an alternative approach is suggested in which such a course is broadened to include fundamental topics from the study of artificial neural nets. In this way the student is exposed to the notion that not only can program knowledge be contributed directly by the designers, but might also be extracted by the software from the data itself.