CORRECTION AND SUPPLEMENTINGATION OF THE WELL LOG CURVES FOR CUU LONG OIL BASIN BY USING THE ARTIFICIAL NEURAL NETWORKS
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The answer lies in two aspects of major importance. The neural network, by its simulating a biological neural network, is in fact a novel computer architecture and a novel algorithmization architecture relative to conventional computers. It allows [r]
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Pricing and guessing the right prices are vital for both hosts and renters on homesharing plat-form from internet based companies. To contribute the growing interest and immense literatureon applying Artificial Intelligence on predicting rental prices, this paper attempts to build ma-chine learning[r]
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Ứng dụng trí tuệ nhân tạo trong việc dự đoán lũ lụt ( English version) The artificial neural network (ANN) has been applied in many hydrological models in recent years and pays attention thanks to the performance of the model. This report focuses on using the application of the ANN based on artific[r]
This paper describes a method to predict the fire resistance ratings of the wooden floor assemblies using Artificial Neural Networks. Experimental data collected from the previously published reports were used to train, validate, and test the proposed ANN model. A series of model configurations were[r]
An artificial neural network (sometimes abbreviated ANN, or shortened to just neural network when the context is clear) is a software system that loosely models biological neurons and synapses. Before explaining exactly how neural networks work, it is useful to understand what types of problems they[r]