JOURNAL ARTICLE

Probabilistic neural-logic networks

Abstract

Summary form only given. Recently, a novel class of networks called neural-logic networks was proposed by the authors' research group to integrate the logical reasoning capability with the concepts and techniques of the conventional neural network approach. The objective of this study is to extend the ideal of the neural-logic network model to incorporate the theory of probability. This model will be able to predict the probability that the matching pattern or the possible set of solutions are correct. This gives the user an indication of the degree of reliability of the conclusion.< >

Keywords:
Artificial neural network Computer science Probabilistic logic Class (philosophy) Artificial intelligence Set (abstract data type) Matching (statistics) Subjective logic Reliability (semiconductor) Machine learning Theoretical computer science Mathematics Programming language

Metrics

9
Cited By
0.76
FWCI (Field Weighted Citation Impact)
0
Refs
0.78
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Neural Networks and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
Fuzzy Logic and Control Systems
Physical Sciences →  Computer Science →  Artificial Intelligence
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