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Neurosolutions neural network simulation environment
Neural Network Simulation Environment, supplied by Neurosolutions, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/neural+network+simulation+environment/neural+network+simulation+environment/10__1002_slash_qua__22423-111-6-5
Average 90 stars, based on 1 article reviews
neural network simulation environment - by Bioz Stars, 2026-11
90/100 stars

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Article Title: Optimization methodology applied to feed-forward artificial neural network parameters
Article Snippet: This article recommends a methodology for developing a neural network with great chances to be an optimal one.. The method is based on trial and error in determining the internal parameters of the network considered as having a significant influence over its performance: the number of hidden layers, activation function, number of neurons in the hidden layers, training epochs, learning rate, and momentum term.. This optimization methodology is presented in two separate sections: first of them contains a series of practical considerations recommended for neural network modeling, and the second is represented by the proposed optimization algorithm, formulated in six steps and based on the practical statements.

Article Title: TDNN with logical values for hydrologic modeling in a cold and snowy climate
Article Snippet: Each of the time-lagged neuralnetwork-based hydrologic simulation models in this study are developedwithin the neural network simulation environment called NeuroSolutions (Principe et al. 2000).



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