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Abstract
Ideas of a neural network are introduced at beginning of 20's century, but today many scientists are studying and applying the neural networks, those approach to different subjects by their strengths and effects. This papers present the results of a general study for the neuron networks and their training processes. That have load forecast subject using the Adaline neural network. In addition this papers present a new learning rule for the Adaline neural network. This rule is better than another rules.
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Article Details
Issue: Vol 3 No 9&10 (2000)
Page No.: 52-62
Published: Oct 31, 2000
Section: Article
DOI: https://doi.org/10.32508/stdj.v3i9&10.3597
Copyright Info
Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Hoang Linh, T., Toan, P., Nhu Hong, T., & Vy, N. (2000). TRAINING PROCESS FOR THE NEURAL NETWORK APPROACH TO THE LOAD FORECAST. Science and Technology Development Journal, 3(9&10), 52-62. https://doi.org/https://doi.org/10.32508/stdj.v3i9&10.3597
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