Optimizing Long Short-Term Memory Recurrent Neural Networks Using Ant Colony Optimization to Predict Turbine Engine Vibration

no code implementations • 10 Oct 2017 • AbdElRahman ElSaid, Travis Desell, Fatima El Jamiy, James Higgins, Brandon Wild

This research improves the performance of the most effective LSTM network design proposed in the previous work by using a promising neuroevolution method based on ant colony optimization (ACO) to develop and enhance the LSTM cell structure of the network.