Multi-Layer Perceptron with Glial Network for Solving Two-Spiral Problem
نویسندگان
چکیده
منابع مشابه
Multi-Layer Perceptron with Glial Network for Solving Two-Spiral Problem
In this study, we propose a multi-layer perceptron with a glial network which is inspired from the features of glias in the brain. All glias in the proposed network generate independent oscillations, and the oscillations propagate through the glial network with attenuation. We apply the proposed network to the two-spiral problem. Computer simulations show that the proposed network gains a bette...
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Chihiro Ikuta Dept. of Electrical and Electronics Eng., Tokushima University 2-1 Minami-Josanjima, Tokushima Japan Email: [email protected] Yoko Uwate Dept. of Electrical and Electronics Eng., Tokushima University 2-1 Minami-Josanjima, Tokushima Japan Email: [email protected] Yoshifumi Nishio Dept. of Electrical and Electronics Eng., Tokushima University 2-1 Minami-Josanjima, ...
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We have proposed the glial network which was inspired from the feature of brain. In the glial network, glias generate independent oscillations and these oscillations propagated neurons and other glias. We confirmed that the glial network improved the learning performance of the Multi-Layer Perceptron (MLP) In this article, we investigate the MLP with the impulse glial network. The glias have on...
متن کاملMulti-Layer Perceptron with Pulse Glial Chain
Abstract—A glia is a nervous cell in the brain. Currently, the glia is known as a important cell for the human’s cerebration. Because the glia transmits signals to neurons and other glias. We notice features of the glia and consider to apply it for an artificial neural network. In this paper, we propose a Multi-layer perceptron (MLP) with pulse glial chain. The pulse glial chain is inspired fro...
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How to reconfigure a logic gate for a variety of functions is an interesting topic. In this paper, a different method of designing logic gates are proposed. Initially, due to the training ability of the multilayer perceptron neural network, it was used to create a new type of logic and full adder gates. In this method, the perceptron network was trained and then tested. This network was 100% ac...
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ژورنال
عنوان ژورنال: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
سال: 2011
ISSN: 0916-8508,1745-1337
DOI: 10.1587/transfun.e94.a.1864