自适应学习和知识发现的不断发展的连接主义系统:方法、工具和应用

Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02. Pub Date : 2002-11-18 DOI:10.1109/ICONIP.2002.1198126

N. Kasabov

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引用次数: 6

摘要

本文描述了什么是进化过程，并提出了一个称为进化连接系统(ECOS)的计算模型。这个模型是基于大脑组织和遗传学的原理。讨论了该模型在大脑研究、生物信息学、语音和语言学习、自适应控制和自适应决策支持等领域的动态建模和知识发现的适用性。

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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Evolving connectionist systems for adaptive learning and knowledge discovery: methods, tools, applications

The paper describes what evolving processes are and presents a computational model called evolving connectionist systems (ECOS). The model is based on principles from both brain organization and genetics. The applicability of the model for dynamic modeling and knowledge discovery in the areas of brain study, bioinformatics, speech and language learning, adaptive control and adaptive decision support is discussed.

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Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02.

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