Abstract: BP neural network has been widely used in pattern recognition, predictive analysis, control optimization, data mining, etc. Optimizing its structure holds immense importance. For the sake of ...

Faculty of Food Technology and Quality Management of Agricultural Products, National University of Life and Environmental Sciences of Ukraine, Kyiv 57207861801, Ukraine ...

College of Aircraft Engineering, Nanchang Hangkong University, Nanchang, China. To address the conflict issues among structural mass, maximum deformation, and equivalent stress in traditional ...

Abstract: The BP neural network intelligent control algorithm optimized by genetic algorithm is introduced into the optical storage integrated system. By improving the double closed-loop PID control ...

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices. Essential deep learning algorithms, concepts, examples and ...

This project uses sentiment analysis using tweepy and textblob and Deep Learning model, Long-Short Term Memory (LSTM) Recurrent neural network (RNN) algorithm to predict closing prices of stocks.

1 Energy, Materials and Methods Research Laboratory, National High Polytechnic School of Douala, Douala, Cameroon. 2 National Advanced School of Engineering, University of Yaounde I, Yaounde, Cameroon ...

Background: In the power system, the identification of the health status of the transmission tower is a daily task that must be performed. In addition, bolt loosening is a common damage mode affecting ...