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This is the first book to present a computational intelligence architecture capable of learning in unsupervised, supervised, or reinforcement learning modes. It is also the first to cover applications of time scales mathematics to engineering applications.
This text covers a field of research involving the use of neural network techniques for image recognition to tasks in the area of micromechanics. It includes theoretical analysis, details of machine tool prototypes, and results from various experiments.
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