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RECURRENT NEURAL NETWORKS (RNNS)
Recurrent Neural Networks (RNNs) are a specialized class of neural networks designed to process sequential data. Unlike traditional feedforward networks, RNNs utilize internal memory to maintain contextual information across time steps, making them ideal for tasks such as language modeling, time series forecasting, and speech recognition.Waseem Ahmad, Vishal Goyal, Dr. Surender
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A novel methodology using RNN + LSTM + ML for predicting student’s academic performance
Education and Information Technologies : Official Journal of the IFIP technical committee on EducationAshima Kukkar +3 more
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Accurate photovoltaic power forecasting models using deep LSTM-RNN
Neural computing & applications (Print), 2017M. Abdel-Nasser, K. Mahmoud
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Stock price prediction using LSTM, RNN and CNN-sliding window model
International Conference on Advances in Computing, Communications and Informatics, 2017Sreelekshmy Selvin +4 more
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