The parallelism, distribution and capability of learning of neural net heuristics provide a new way for knowledge acquisition, knowledge representation and uncertainty reasoning in expert systems.

神经元网络启发式的并行、分布特征和可学习性为专家系统的知识表达和获取、不确定性推理提供了新的途径。

youdao

Systems can learn knowledge and perform reasoning under the uncertainty environment automatically.

使得系统能够在不确定的环境中自动地进行学习和推理。

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This paper develops an expert system for Electrocardiogram diagnosis. Its uncertainty reasoning with weight is based on the experience and specialty knowledge of experts.

本文以领域专家的理论知识和经验知识为基础，采用一加权不确定性推理方法，建立了一个心电诊断专家实验原型系统。

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These computer vision algorithms needed to be complemented with higher-level tools of analysis involving knowledge representation and reasoning, often under conditions of uncertainty.

FORBES: U.S. Army Sponsored Arti?cial Intelligence Surveillance System Attempts to Predict The Future