Please use this identifier to cite or link to this item: https://thuvienso.dau.edu.vn:88/handle/DHKTDN/4231
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dc.contributor.authorSuzuki, Kenji-
dc.date.accessioned2014-05-12T08:11:16Z-
dc.date.available2014-05-12T08:11:16Z-
dc.date.issued2013-
dc.identifier.issn978-953-51-0935-8-
dc.identifier.urihttps://thuvienso.dau.edu.vn:88/handle/DHKTDN/4231-
dc.description.abstractThis book has 2 sections and 12 chapters mentioning about: Architecture and Design, Applicationsvi
dc.description.tableofcontentsSection 1 Architecture and Design: Chapter 1 Improved Kohonen Feature Map Probabilistic Associative Memory Based on Weights Distribution Chapter 2 Biologically Plausible Artificial Neural Networks Chapter 3 Weight Changes for Learning Mechanisms in Two-Term Back-Propagation Network Chapter 4 Robust Design of Artificial Neural Networks Methodology in Neutron Spectrometry Section 2:Applications Chapter 5 Comparison Between an Artificial Neural Network and Logistic Regression in Predicting Long Term Kidney Transplantation Outcome Chapter 6 Edge Detection in Biomedical Images Using Self-Organizing Maps Chapter 7 MLP and ANFIS Applied to the Prediction of Hole Diameters in the Drilling Process Chapter 8 Integrating Modularity and Reconfigurability for Perfect Implementation of Neural Networks Chapter 9 Applying Artificial Neural Network Hadron - Hadron Collisions at LHC Chapter 10 Applications of Artificial Neural Networks in Chemical Problems Chapter 11 Recurrent Neural Network Based Approach for Solving Groundwater Hydrology Problems Chapter 12 Use of Artificial Neural Networks to Predict The Business Success or Failure of Start-Up Firmsvi
dc.language.isoenvi
dc.publisherIntechvi
dc.subjectArchitecture and Design, Applicationsvi
dc.titleARTIFICIAL NEURAL NETWORKS – ARCHITECTURES AND APPLICATIONSvi
dc.typeBookvi
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