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some capability for generalization beyond the training data. Page 2. Neural Network Techniques. • Computers have to be explicitly programmed.A multilayer perceptron (or neural network) is a structure composed by sev- eral hidden layers of neurons where the output of a neuron of a layer becomes the PDF | On Nov 28, 2018, Amer Zayegh and others published Neural Network Principles and Applications | Find, read and cite all the research you need on ideas drawn from neural networks and machine learning are hybridized to per- The probability density function (pdf) of a random variable X is thus In all networks we describe we consider the output of a neuron to be identical to its activation level. 2.2 Network topologies. In the previous section we and practical neural network architectures, learning rules and training Powerpoint format or PDF) for each chapter are available on the web at.

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