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Neural Networks A neural network also known as an artificial neural network provides aunique computing architecture whose potential has only begun to be tapped They are usedto address problems that are intractable or cumbersome with traditional methods These newcomputing architectures are radically different from the computers that are widely usedtoday ANNs are massively parallel systems that rely on dense arrangements ofinterconnections and surprisingly simple processors Cr95 Ga93 Artificial neural networks take their name from the networks of nervecells in the brain Although a great deal of biological detail is eliminated in thesecomputing models the ANNs retain enough of the structure observed in the brain toprovide insight into how biological neural processing may work He90 Neural networks provide an effective approach for a broad spectrum ofapplications Neural networks excel at problems involving patterns which include patternmapping pattern completion and pattern classification He95 Neural networks may beapplied to translate images into keywords or even translate financial data into financialpredictions Wo96 Neural networks utilize a parallel processing structure that has largenumbers of processors and many interconnections between them These processors are muchsimpler than typical central processing units He90 In a neural network each processoris linked to many of its neighbors so that there are many more interconnections thanprocessors The power of the neural network lies in the tremendous number ofinterconnections Za93 ANNs are generating much interest among engineers and scientistsArtificial neural network models contribute to our understanding of biological modelsThey also provide a novel type of parallel processing that has powerful capabilities andpotential for creative hardware implementations meets the demand for fast computinghardware and provides the potential for solving application problems Wo96 Neural networks excite our imagination and relentless desire tounderstand the self and in addition equip us with an assemblage of unique technologicaltools But what has triggered the most interest in neural networks is that models similarto biological nervous systems can actually be made to do useful computations andfurthermore the capabilities of the resulting systems provide an
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