Extraction of Logic rules on the basis of robust binary feedforward neural networks

机译：基于鲁棒二进制前馈神经网络的逻辑规则提取

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This paper, on the basis of connection weights of robust binary feedforward neural networks (robust BNNs) being -1,0 or +1, presents a fact that the extraction of logic rules from robust BNNs is much eeasier than that from ordinary feeforward neural networks, and robust BNNs are perfect unification of logic knowledge database, inference machine and interpretation machine.

机译：本文基于健壮的二进制前馈神经网络（健壮的BNN）的连接权重为-1,0或+1，提出了一个事实，即从健壮的BNN中提取逻辑规则比从普通的前馈神经网络中提取逻辑规则更容易强大的BNN是逻辑知识数据库，推理机和解释机的完美统一。

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《International conference on signal processing;ICSP '98》|1998年|p.1364-1366|共3页
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Zhang Junying; Bao Zheng;
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中图分类无线电电子学、电信技术;
关键词
Binary Feedforward neural; Network (BNN); Connection Weight; Logic Rule; Inference;

机译：二进制前馈神经网络（BNN）;连接重量;逻辑规则;推理;

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1. Sensitivity-Based Adaptive Learning Rules for Binary Feedforward Neural Networks [J] . Zhong S., Zeng X., Wu S., Neural Networks and Learning Systems, IEEE Transactions on . 2012,第3期

机译：二进制前馈神经网络的基于灵敏度的自适应学习规则
2. Generalized Analytic Rule Extraction for feedforward neural networks [J] . Gupta A., Sang Park IEEE Transactions on Knowledge and Data Engineering . 1999,第6期

机译：前馈神经网络的广义解析规则提取
3. Fuzzy logic and evolutionary algorithm—two techniques in rule extraction from neural networks [J] . U. Markowska-Kaczmar, W. Trelak Neurocomputing . 2005,第Jan期

机译：模糊逻辑和进化算法-神经网络规则提取的两种技术
4. Extraction of logic rules on the basis of robust binary feedforward neural networks [C] . Zhang Junying, Bao Zheng . 1998

机译：基于鲁棒二进制前馈神经网络的逻辑规则提取
5. Detection of rare events and rule extraction by neural networks and decision trees. [D] . Choe, Wooyoung. 1999

机译：通过神经网络和决策树检测稀有事件并提取规则。
6. Rule Extraction From Binary Neural Networks With Convolutional Rules for Model Validation [O] . Sophie Burkhardt, Jannis Brugger, Nicolas Wagner, 2021

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7. Rule Extraction from Binary Neural Networks [O] . Marco Muselli, Diego Liberati 2008

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8. Feature Extraction and Classification of FLIR Imagery Using Relative Locations ofNon-Homogeneous Regions with Feedforward Neural Networks [R] . Priddy, K. L. 1992

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Extraction of Logic rules on the basis of robust binary feedforward neural networks

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