适应、学习和进化

T. Fukuda, N. Kubota
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引用次数: 0

摘要

知识工程、计算机科学、机电一体化和机器人技术都需要智能系统。本文从生物的适应、学习和进化的角度探讨了机器(系统)智能。其次,介绍了计算智能,包括神经网络、模糊系统和遗传算法。最后,本文讨论了整合直觉和逻辑推理、规划和学习的结构化智能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptation, learning and evolution
Intelligent systems are required in knowledge engineering, computer science, mechatronics and robotics. This paper discusses the machine (system) intelligence from the viewpoints of adaptation, learning and evolution of living things. Next, this paper introduces computational intelligence including neural network, fuzzy system, and genetic algorithm. Finally, this paper discusses structured intelligence integrating intuitive and logical inferences, planning, and learning.
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