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Titlebook: Artificial Neural Nets and Genetic Algorithms; Proceedings of the I David W. Pearson,Nigel C. Steele,Rudolf F. Albrech Conference proceedin

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order to gain understanding of important natural processes. By focussing on the process models rather than the processes themselves, significant new computational techniques have evolved which have found application in a large number of diverse fields. This diversity is reflected in the topics which
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Ingrid Bachmann,Dustin Harp,Jaime Loke used polynomial classifiers while maintaining the same performance..To achieve this we implemented some significant enhancements and minor improvements of the original algorithm..It is also shown how to use Enzo as an efficient tool to create nets satisfying task-specific constraints.
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Feminist Aesthetics in Contemporary Art,d of genetics-based machine learning systems suffers from a lot of problems yielding system instability, often resulting in poor performance. The main difficulty consists in maintaining good classifiers in the population during the evolution process.
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Non-Supervised Sensory-Motor Agents Learning concepts based on action and sensation. Such approach is inspired in the theory of the Swiss psychologist and epistemologist Jean Piaget, and intends to make explicit the account of the processes of continuous interaction between sensory-motor agents and their environments when agents are producing cognitive structures.
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