Jinhua Zhang

Applied Energy · 2019

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Jinhua Zhang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Radford M. Neal

Papers from Jinhua Zhang's perspective

Ordered by how strongly the researchers Jinhua Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Pattern Recognition and Machine Learning
2. Learning and relearning in Boltzmann machines
3. Adaptive Mixtures of Local Experts
4. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
5. Self-organizing neural network that discovers surfaces in random-dot stereograms
6. Long Short-Term Memory
7. Annealed importance sampling
8. Estimating the Dimension of a Model
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. A Practical Bayesian Framework for Backprop Networks

Their papers

• Short-term forecasting and uncertainty analysis of wind turbine power based on long short-term memory network and Gaussian mixture model (2019) — 356 citations