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Artificial Neural Networks have previously been applied in neuro-symbolic learning to learn ground logic program rules. However, there are few results of learning relations using neuro-symbolic learning. This paper presents the system PAN, which can learn relations. The inputs to PAN are one or more atoms, representing the conditions of a logic rule, and the output is the conclusion of the rule. The...
In order to reduce accident and enhance reliability of system, a new safety assessment approach combining with system safety engineering, factor analysis and neural network is proposed for transmission grid system in this paper. The safety assessment objective architecture was established by analyzing a variety of factors affecting transmission grid system safety using system safety principle. Factor...
This research proposes NTSO (neural text self organizer) as the approach to text clustering and sets inverted index as the basis for execution of the NTSO. For using one of traditional approaches, documents should be encoded into numerical vectors and encoding so causes the two main problems: the huge dimensionality and the sparse distribution. This research proposes that documents should be encoded...
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