27 trang
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Artificial neural networks
Summary of engineering doctoral thesis: Research on building regionallinked hydroelectric turbine speed control systems on the basis of fuzzy logic and artificial neural networksThe purpose of the topic Researching and building models of regional-linked hydropower turbine speed control system. Research on building regional-linked hydroelectric turbine speed control system on the basis of fuzzy logic and artificial neural networks to improve control quality.
Application of neural networks in the diagnosis of heart diseaseArtificial neural networks, which are an essential tool in Machine Learning, are used to solve many types of problems in different fields. This article will introduce an application of the artificial neural network model in the diagnosis of heart disease based on the heart.csv data file.
6 trang
5 lượt xem
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Forecasting exports and imports through artificial neural network and autoregressive integrated moving averageIn this study, total annual exports and imports of the Kingdom of Saudi Arabia are forecasted using Artificial Neural Network (ANN) and Autoregressive Integrated Moving Average (ARIMA) models.
12 trang
19 lượt xem
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Prospects of LSTM neural networks use in supply chain management when developing a crypto currency rate forecastThe research subject is the process of economic and mathematical modelling of time series characterizing the bitcoin exchange rate volatility, based on the use of artificial neural networks. The purpose of the work is to search and scientifically substantiate the tools and mechanisms for developing prognostic estimates of the crypto currency market development. The paper considers the task of financial time series trend forecasting using the LSTM neural network for supply chain strategies.
5 trang
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Intelligent process modeling and optimization of die-sinking electric discharge machining(BQ) This paper reports an intelligent approach for process modeling and optimization of electric discharge machining (EDM). Physics based process modeling using finite element method (FEM) has been integrated with the soft computing techniques like artificial neural networks (ANN) and genetic algorithm (GA) to improve prediction accuracy of the model with less dependency on the experimental data.
13 trang
61 lượt xem
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