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Abstract: Artificial neural networks (ANNs) involve a large amount of inter-node communications. To reduce the communication cost as well as the time of learning process in ANNs, we earlier proposed an incremental inter-node communication method. In the incremental communication method, instead of communicating the full magnitude of the output value of a node, only the increment or decrement to its previous value is sent on a communication link. In this paper, the effects of the limited precision... (Update)
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...comparing different implementations of FANN structures that have the same numbers of parameters. The test time can be evaluated based on [68]. More specifically, the necessary time in the forward pass of data through the network in the test phase can be expressed as t test = 2...
.... We have earlier proposed the incremental inter node communication method for internode communication in Artificial Neural Networks(ANNs)[11]. In the incremental communication method, instead of communicating the whole value of a variable, only the increment or decrement to...
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BibTeX entry: (Update)
A.A. Ghorbani and V.C. Bhavsar, "Incremental communication for multilayer neural networks, " IEEE Trans. on Neural Networks, vol. 6, no. 6, pp. 1375--1385, Nov. 1995. http://citeseer.ist.psu.edu/ghorbani95incremental.html More
@article{ ghorbani98incremental,
author = "A. A. Ghorbani and V. C. Bhavsar",
title = "Incremental Communication for Multilayer Neural Networks:Error Analysis",
journal = "IEEE Transactions on Neural Networks",
volume = "9",
number = "1",
month = "January",
pages = "68--82",
year = "1998",
url = "citeseer.ist.psu.edu/ghorbani95incremental.html" }
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