Abstract: This paper introduces a special points and neural network- based dynamic multi-objective optimization algorithm (SPNN-DMOA) for solving dynamic multi-objective optimization problems (DMOPs) ...

Abstract: Confronting non-stationary vibration signals and extended temporal dependencies in rolling bearing prognostics, this work assesses Long Short-Term Memory (LSTM) networks, an enhanced RNN ...

LSTM Recurrent Neural Network is a special version of the RNN model. It stands for Long Short-Term Memory. The simple RNN has a problem that it cannot remember the context in a long sentence because ...

Neuroscientists have been trying to understand how the human brain supports numerous advanced capabilities for centuries. The cerebral cortex, the outer layer of the brain, is now known to be ...