Multi-Layer Perceptron with Impulse Glial Network
نویسندگان
چکیده
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 only impulse output, however they make the complex output by correlating with each other. The simulation result shows that the proposed networks possess better learning performance than the conventional MLP.
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