基于神经的溯因推理的分布式计算

Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005. Pub Date : 2005-12-27 DOI:10.1109/IJCNN.2005.1555960

L. Romdhane, M. Elhadef

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引用次数: 0

摘要

这项工作扩展了最近基于神经的溯因推理模型，以解释单调类。一个问题被认为是单调的，一些原因加在一起可以解释同样的结果。为此，我们开发了一种新的计算原理，称为softmin，并在神经结构中实现它。仿真结果令人满意，对今后的研究具有重要意义。

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Distributed computation for neural-based abductive reasoning

This work extends a recent model for neural-based abductive reasoning to account for the monotonic class. A problem is said to be monotonic some causes, together, explain the same effect. For this, we developed a new computational principle, called the softmin, and implemented it within a neural architecture. Simulation results are very satisfactory and should stimulate future research.

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Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.

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