基于遗传算法的自动作文系统

2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering Pub Date : 2010-11-01 DOI:10.1109/ISKE.2010.5680844

Min Jiang, Changle Zhou

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引用次数: 7

摘要

在人工智能领域，计算机应用于音乐创作的研究正在积极进行。在本文中，我们提出了一种混合方法，采用BP神经网络评估音乐中的情绪和遗传算法作为提名创造力的合适方法。与该领域使用的其他GAs相比，该GAs采用了情感元素，并结合一些音乐规则作为适应度函数。实验结果表明，该方法可以产生普通听众喜欢的音乐。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Automated composition system based on GA

Researches on computer application to musical creation are actively performed in artificial intelligence. In this paper, we propose a hybrid method that adopts BP neural network for evaluation of emotions in music and genetic algorithm as an appropriate method for nominating creativity. Compared to other GAs used in this field, emotional element is used and combined with some musical rules as fitness function. The experiment results show that our method can yield music which is pleasant to ordinary listeners.

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来源期刊

2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering

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