Generalization of finite size Boolean perceptrons with genetic algorithms-Reference-Cited by-同舟云学术

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Generalization of finite size Boolean perceptrons with genetic algorithms

Published:2008-10 Issue:16-18 Volume:71 Page:3650-3655
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Barbato D.M.L.,De Groote J.J.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference21 articles.

1. Training a network with ternary weights using the CHIR algorithm;Abramson;IEEE Trans. Neural Networks,1993

2. Efficient supervised learning in networks with binary synapses

3. The effects of lesions on the generalization ability of a perceptron

4. Variational studies and replica symmetry breaking in the generalization problem of the binary perceptron

5. Learning in the hypercube: A stepping stone to the binary perceptron

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Perceptron Partition Model to Minimize Input Matrix;IOP Conference Series: Materials Science and Engineering;2019-06-01

2. Perceptron Genetic to Recognize Openning Strategy Ruy Lopez;IOP Conference Series: Materials Science and Engineering;2018-01

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