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首页> 外文期刊>IEEE Transactions on Knowledge and Data Engineering >Connectionist expert system with adaptive learning capability
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Connectionist expert system with adaptive learning capability

机译：具有自适应学习能力的连接专家系统

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摘要

A neural network expert system called adaptive connectionist expert system (ACES) which will learn adaptively from past experience is described. ACES is based on the neural logic network, which is capable of doing both pattern processing and logical inferencing. The authors discuss two strategies, pattern matching ACES and rule inferencing ACES. The pattern matching ACES makes use of past examples to construct its neural logic network and fine-tunes itself adaptively during its use by further examples supplied. The rule inferencing ACES conceptualizes new rules based on the frequencies of use on the rule-based neural logic network. A new rule could be considered as a pattern matching example and be incorporated into pattern matching ACES.
机译：描述了一种称为自适应连接专家系统（ACES）的神经网络专家系统，该系统将从过去的经验中自适应地学习。 ACES基于神经逻辑网络，该网络能够执行模式处理和逻辑推理。作者讨论了两种策略：模式匹配ACES和规则推理ACES。模式匹配ACES利用过去的示例来构建其神经逻辑网络，并在使用过程中通过提供的其他示例对自身进行自适应微调。规则推断ACES根据基于规则的神经逻辑网络上的使用频率概念化新规则。可以将新规则视为模式匹配示例，并将其合并到模式匹配ACES中。

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