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Fundamentals of neural networks
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The article was published on 1993-01-01 and is currently open access. It has received 1921 citations till now. The article focuses on the topics: Time delay neural network & Physical neural network.read more
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Proceedings ArticleDOI
Prediction of active compounds from SMILES codes using backpropagation algorithm
TL;DR: In this article, a backpropagation algorithm was used to predict the active compound function by extracting features of the simplified molecular input line entry system (SMILES) code.
Journal ArticleDOI
Thermal Behavior Prediction of MDPE Nanocomposite/Cloisite Na+ Using Artificial Neural Network and Neuro-Fuzzy Tools
Javad Sargolzaei,Behdad Ahangari +1 more
Proceedings ArticleDOI
Clustering methods for multiresolution simulation modeling
Christos G. Cassandras,Christakis G. Panayiotou,Gregory Diehl,Weibo Gong,Zheng Liu,Changchun Zou +5 more
TL;DR: High-dimensional data clustering is proposed as a key interfacing component between simulation modules with different resolutions and use unsupervised learning schemes to recover the patterns for the high-resolution simulation results.
Journal ArticleDOI
Optimization of turbulent convective heat transfer of CuO/water nanofluid in a square duct
TL;DR: In this article, a backpropagation network with two hidden layers has been used to investigate and optimize the effects of the Reynolds number, volume fraction and nanoparticle diameter on heat transfer, pressure drop and entropy generation.
Journal ArticleDOI
Neural network method to determine the vigilance levels of the central nervous system, related to occupational chronic chemical stress
TL;DR: A perceptron-based neural network was developed for the classification of the QEEG data to one of the three stages of occupational chemical stress syndromes according to the CNS vigilance level: hypersthenic syndrome, hyposthenic Syndrome, and organic psychosyndrome.