Neural Networks (Rolf Pfeifer, et al)

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Neural Networks (Rolf Pfeifer, et al)

This book offers a strong foundation of fundamental neural network ideas, starting with an introduction that discusses the use of neural networks in scientific data analysis.

An organized introduction to neural networks, biological underpinnings, significant network classes, and learning algorithms, including supervised models (perceptrons, deadlines, multi-layer perceptrons), support-vector machines, echo-state networks, non-supervised networks (competitive, Kohonen, Hebb), recurrent networks (Hopfield, CTRNNs - continuous-time recurrent neural networks), spiking neural networks, spike-time dependent plasticity, and applications

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