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Literal and ProRulext: Algorithms for Rule Extraction of ANNs

Literal and ProRulext: Algorithms for Rule Extraction of ANNs. Paulemir G. Campos, Teresa B. Ludermir E-mail: {pgc, tbl}@cin.ufpe.br. Presentation Summary. 1. Introduction 2. Literal and ProRulext 3. Experiments 4. Results 5. Discussions 6. Conclusions Acknowledgements References.

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Time Series Forecasting with Recurrent Neural Networks NN3 Competition Mahmoud Abou-Nasr Research & Advanced Engineering Ford Motor Company Email: mabounas@ford.com. Software. NTOOL Software Package developed in FORD, used for training the networks. RMLP Architecture. Typically 1-4R-2-1L

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167 views • 8 slides

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Literal and ProRulext: Algorithms for Rule Extraction of ANNs

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