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Titlebook: Neural Network Models; Theory and Projects Philippe Wilde Textbook 1997Latest edition Springer-Verlag Berlin Heidelberg 1997 Hardware.Signa

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發(fā)表于 2025-3-26 22:28:20 | 只看該作者
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發(fā)表于 2025-3-27 01:53:40 | 只看該作者
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發(fā)表于 2025-3-27 08:00:07 | 只看該作者
Neural Networks and Markov Chains,ays the same. This seems the very model of a reliable system that every engineer wants. If the network is used for optimization however, e.g. to solve the Travelling Salesman Problem [99], a network operating deterministically will usually not find the best solution. When converging towards an equilibrium, it will get stuck into a local optimum.
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發(fā)表于 2025-3-27 09:40:16 | 只看該作者
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https://doi.org/10.1007/978-1-84628-614-8Hardware; Signal; Software; backpropagation; knowledge; network; neural networks
36#
發(fā)表于 2025-3-27 19:12:45 | 只看該作者
Key concepts in neural networks,This chapter gives a quick overview of neural networks. The key concepts are introduced, and the basic operation of the network is explained. Everything introduced in this chapter is taken up again later in the book.
37#
發(fā)表于 2025-3-27 22:57:06 | 只看該作者
Neurons in the Brain,One of the main attractions of neural networks is that they offer a model of computation based on the processes taking place in the brain. This neurobiological computation is parallel, and may suggest an efficient parallel architecture for computing.
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發(fā)表于 2025-3-28 06:08:52 | 只看該作者
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