Results 11 to 20 of about 874,187 (329)
Utilization of Artificial Neural Network [PDF]
ARCHive-SR, 2018 Artificial neural networks (NN), have been applied to many construction management problems in urban projects. NN have showed some degree of success so the objective of this paper is to highlight some applications of this tool in the construction ...
Sherif Mohamed Hafez
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Holography in artificial neural networks [PDF]
Nature, 1990 The dense interconnections that characterize neural networks are most readily implemented using optical signal processing. Optoelectronic 'neurons' fabricated from semiconducting materials can be connected by holographic images recorded in photorefractive crystals. Processes such as learning can be demonstrated using holographic optical neural networks.
Psaltis, Demetri +3 more
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Analysis of Artificial Neural-Network [PDF]
International Journal of Trend in Scientific Research and Development, 2018 An Artificial Neural Network ANN is a computational model that is inspired by the way biological neural networks in the human brain process information. Artificial Neural Networks have generated a lot of excitement in Machine Learning research and industry, thanks to many breakthrough results in speech recognition, computer vision and text processing ...
Rajesh CVS, Nadikoppula Pardhasaradhi
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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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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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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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Artificial Neural Network in Cosmic Landscape [PDF]
, 2017 In this paper we propose that artificial neural network, the basis of machine learning, is useful to generate the inflationary landscape from a cosmological point of view.
Liu, Junyu
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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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Neural Networks as Artificial Specifications [PDF]
, 2018 In theory, a neural network can be trained to act as an artificial specification for a program by showing it samples of the programs executions. In practice, the training turns out to be very hard. Programs often operate on discrete domains for which patterns are difficult to discern. Earlier experiments reported too much false positives.
I. S. Wishnu B. Prasetya, Minh An Tran
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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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