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An Introduction to Neural NetworksCovers: artificial neurons as models of their real counterparts; the geometry of network action in pattern space; gradient descent methods, including back-propagation; associative memory and Hopfield nets; and self-organization and feature maps.
This book grew out of a set of course notes for a neural networks module given as part of a... | | | | Mathematical Foundations of Computer Science 2013: 38th International Symposium, MFCS 2013, Klosterneuburg, Austria, August 26-30, 2013, Proceedings
This book constitutes the thoroughly refereed conference proceedings of the 38th International Symposium on Mathematical Foundations of Computer Science, MFCS 2013, held in Klosterneuburg, Austria, in August 2013. The 67 revised full papers presented together with six invited talks were carefully selected from 191 submissions. Topics covered... |
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| | | | Semiotics and Intelligent Systems DevelopmentThis book assembles semiotics and artificial intelligence techniques in order to design new kinds of intelligence systems; it changes the research field of artificial intelligence by incorporating the study of meaning processes (semiosis), from the perspective of formal sciences, linguistics, and philosophy.
Sometimes, in order to... |
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Problem Solving With PrologProlog is a programming language in which solutions to computing problems are expressed as facts representing relationships between objects and as rules specifying consequences which derive from facts. In Prolog, the mechanisms for representing knowledge about objects and relationships are both high-level and general-purpose. This brings two... | | | | |
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