Academic Year : 2024-2025
- An optimised CNN-stacked LSTM neural network model for predicting stock market time-series data ( Inderscience -March 2025 - Impact Factor : 0.8 ) Published Online:March 17, 2025 pp 196-224 https://doi.org/10.1504/IJCEE.2025.145022
- An optimised CNN-stacked LSTM neural network model for predicting stock market time-series data ( Inderscience -March 2025 - Impact Factor : 0.8 ) Published Online:March 17, 2025 pp 196-224 https://doi.org/10.1504/IJCEE.2025.145022
Academic Year : 2023-2024
- Stock Market Investment Strategy UsingDeep-Q-Learning Network
- “Stock Market Investment
Strategy Using Deep-Q-Learning Network” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligencand Lecture Notes in Bioinformatics) 2023, 14078 LNAI, pp. 484–495 (First Online: 24 June 2023) https://doi.org/10.1007/978-3-031-36402-0_45
FDP ATTENDED : 2024-2025
A Neural Network is a computer model inspired by the way the human brain processes information. It consists of interconnected nodes, called neurons, that work together to recognize patterns, learn from data, and make predictions or decisions. Neural networks are widely used in artificial intelligence applications such as image recognition, speech processing, language translation, medical diagnosis, and recommendation systems. By training on large datasets, they can improve their accuracy over time without being explicitly programmed for every task.
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