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首页> 外文会议>2018 Progress in Applied Electrical Engineering >Systemic Method of the ANN Improvement Using Evolutionary Algorithm Inspired by Quantum Solutions Based on the Electrical Power Exchange
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Systemic Method of the ANN Improvement Using Evolutionary Algorithm Inspired by Quantum Solutions Based on the Electrical Power Exchange

机译：基于电力交换的量子解决方案启发式进化算法的神经网络改进系统方法

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摘要

The work contains selected results of research related to the systemic method of the improvement of artificial neural network parameters using Systemic Evolutionary Algorithm and Evolutionary Algorithm inspired by quantum computer science solutions. The work is the continuation of the research published earlier, in which a neural model of the Electrical Power Exchange was proposed for numeric data for the Day-Ahead Market. This paper also presents how the parameters of the neural network might be improved in a systemic method, by means of the Evolutionary Algorithm, and how to develop an Evolutionary Algorithm inspired by quantum computer science, and use it to improve the parameters of the neural model, including weight matrix. The research is being continued.
机译：该工作包含与利用系统进化算法和受量子计算机科学解决方案启发的进化算法来改善人工神经网络参数的系统方法有关的研究成果。这项工作是对先前发表的研究的延续，其中提出了电力交换的神经模型用于日前市场的数值数据。本文还介绍了如何通过进化算法在系统方法中改善神经网络的参数，以及如何开发受量子计算机科学启发的进化算法，并将其用于改善神经模型的参数。 ，包括权重矩阵。研究仍在继续。

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