- Category: Computer
- Author: Rolf Pfeifer, Dana Damian, Rudolf Fuchslin
- File type: PDF, 109 pages, 1.71 MB
Read and download free eBook intituled Neural Networks in format PDF, 109 pages, 1.71 MB created by Rolf Pfeifer, Dana Damian, Rudolf Fuchslin.
Beginning with an introductory discussion on the role of neural networks in scientific data analysis, this book provides a solid foundation of basic neural network concepts.
Systematic introduction to neural networks, biological foundations; important network classes and learning algorithms; supervised models (perceptrons, adalines, 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, applications.
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