Study on factor-state artificial neural network model for water quality prediction
浙江大学学报. 农业与生命科学版, 2000 Research on factor neural network theory led to factor-state BP artificial neural network. Combination of informative diffusion with falling shadow technique forms information diffusion falling shadow technique together with factor BP artificial neural ...
GUO Zong-lou, SHEN Wei
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PLoS ONE, 2020 Artificial neural networks are the main tools for data mining and were inspired by the human brain and nervous system. Studies have demonstrated their usefulness in medicine.
Shungo Imai +6 more
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Prediction of Ultimate Bearing Capacity of Skirted Footing Resting on Sand Using Artificial Neural Networks [PDF]
Journal of Soft Computing in Civil Engineering, 2018 The paper presents the prediction of ultimate bearing capacity of different regular shaped skirted footing resting on sand using artificial neural network.
Rakesh Dutta +2 more
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Pricing American Put Option using RBF-NN: New Simulation of Black-Scholes
Moroccan Journal of Pure and Applied Analysis, 2022 The present work proposes an Artificial Neural Network framework for calculating the price and delta hedging of American put option. We consider a sequence of Radial Basis function Neural Network, where each network learns the difference of the price ...
Zaineb El Kharrazi +2 more
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This chapter contains a description of the historical evolution of artificial neural networks since their inception, with the appearance of the first relevant learning method by Paul Werbos in 1986, which remained ignored until it was discovered simultaneously by three groups of independent researchers: LeCun (1986); Parker (1985); and Rumelhart ...
Paulo Botelho Pires +2 more
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Research Progress of Oilfield Development Index Prediction Based on Artificial Neural Networks
Energies, 2021 Accurately predicting oilfield development indicators (such as oil production, liquid production, current formation pressure, water cut, oil production rate, recovery rate, cost, profit, etc.) is to realize the rational and scientific development of ...
Chenglong Chen +10 more
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Designing a fruit identification algorithm in orchard conditions to develop robots using video processing and majority voting based on hybrid artificial neural network [PDF]
, 2020 The first step in identifying fruits on trees is to develop garden robots for different purposes such as fruit harvesting and spatial specific spraying.
Kalantari, Davood +3 more
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Prediction of Free Swell Index for the Expansive Soil Using Artificial Neural Networks [PDF]
Journal of Soft Computing in Civil Engineering, 2019 Prediction of the free swell index of the expansive soil using artificial neural network has been presented in this paper. Input parameters for the artificial neural network model were plasticity index and shrinkage index, while the output was the free ...
Rakesh Dutta +2 more
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Classification of asteroid families with artificial neural networks [PDF]
Serbian Astronomical Journal, 2020 This paper describes an artificial neural network for classification of asteroids into families. The data used for artificial neural network training and testing were obtained by the Hierarchical Clustering Method (HCM).
Vujičić D. +5 more
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Implementation of Backpropagation Artificial Network Methods for Early Children’s Intelligence Prediction [PDF]
E3S Web of Conferences, 2021 Intelligence is the ability to process certain types of information derived from human biological and psychological factors. This study aims to implement a Backpropagation artificial neural network for prediction of early childhood intelligence and how ...
Budiman I +4 more
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