用于控制应用的cmac型神经存储器

Proceedings of Fifth International Conference on Microelectronics for Neural Networks Pub Date : 1996-02-12 DOI:10.1109/MNNFS.1996.493787

W. S. Mischo

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引用次数: 4

摘要

CMAC是最早成功应用于现实世界控制问题的神经网络之一。它基于非线性输入点处理和修改内部状态的线性算法局部“泛化”输入/输出行为的能力提供了对隐式模型的快速收敛。本文介绍了CMAC的基本功能。讨论了CMAC硬件实现的指导方针，因为它们用于实现ASIC，现在在第一个版本中可用。

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A CMAC-type neural memory for control applications

CMAC is one of the first neural networks successfully applied to real world control problems. Its ability to locally "generalize" an input/output behaviour based on a non-linear input point processing and a linear algorithm for modifying internal states provides fast convergence to an implicit model. In this paper CMAC is shown in its basic functionality. Guidelines for a CMAC hardware realization are discussed, as they were used for the implementation of an ASIC, which now is available in a first version.

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Proceedings of Fifth International Conference on Microelectronics for Neural Networks

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