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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
New Approach for the Prediction of Klinkenberg Permeability In Situ for Low Permeability Sandstone in Tight Gas Reservoir
Mehdi Tadayoni,Mina Valadkhani +1 more
Journal Article
Functional model of monofin swimming technique based on the construction of neural networks.
Marek Rejman,Bartosz Ochmann +1 more
TL;DR: This study is the very first one in which the Neuronal Networks was applied to construct a functional/applicable to practice model of monofin swimming, and pointed out the need to intensify the angular velocity of thigh extension and dorsal flexion of the feet, to strengthen velocity of attack of the tail and to accelerate theAttack of the distal part of the fin.
Journal ArticleDOI
A QSRR Study of Liquid Chromatography Retention Time of Pesticides using Linear and Nonlinear Chemometric Models
TL;DR: GR-NN could be used as predictive tools for prediction of RT (min) values for understudy pesticides and demonstrated a better performance than that of the MLR and MLP-NN models.
Journal ArticleDOI
Stereovision system for estimation of the grasp type for electrotherapy
Matija Strbac,Marko Markovic +1 more
TL;DR: Hardware and software for scene analysis that are designed for the system used in treatment of post stroke hemiplegic patients using electrical stimulation, which makes a decision grasp type and necessary actions for the purpose of hand opening and closing according to demands.
Proceedings Article
Norta and neural networks based method to generate random vectors with arbitrary marginal distributions and correlation matrix
TL;DR: A new method to generate the correlation matrices of normal random vectors based on the artificial neural networks approach is developed and the Perseptron Neural Network is applied as the best applicable network to function fitting.