一组Delphi组件，用于基于案例的推理

Proceedings 11th International Conference on Tools with Artificial Intelligence Pub Date : 1999-11-08 DOI:10.1109/TAI.1999.809780

H. Bergstrom

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引用次数: 0

摘要

最近邻(NN)算法是实现基于案例推理系统的最流行的方法之一。提出了一组Delphi分量，实现了基于加权欧氏距离(WED)的神经网络方法。为了使方法更通用，ww的距离度量由所谓的比较器实现，比较器是用于比较属性值的专门组件。

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A family of Delphi components for case-based reasoning

Nearest neighbour (NN) algorithms are one of the more popular approaches to implementing case-based reasoning systems. A family of Delphi components are presented that implements an NN approach based on the weighted Euclidean distance (WED). To make the approach more general, the distance measure of WED is implemented by so called comparators which are specialised components for comparing attribute values.

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Proceedings 11th International Conference on Tools with Artificial Intelligence

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