1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2022
POGD: Gradient Descent with New Stochastic Rules
Feihu Han, Sida Xing, Sui Yang Khoo
There introduce Particle Optimized Gradient Descent (POGD), an algorithm based on the gradient descent but integrates the particle swarm optimization (PSO) principle to achieve the…
cs.LG2022★ 1 cited
Extreme-Long-short Term Memory for Time-series Prediction
Sida Xing, Feihu Han, Suiyang Khoo
The emergence of Long Short-Term Memory (LSTM) solves the problems of vanishing gradient and exploding gradient in traditional Recurrent Neural Networks (RNN). LSTM, as a new type…