Di Zhang

Model Architectures · with Lin · 2018

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

Subfields

• Model Architectures — 5 citations into it

Whom Di Zhang trusts overall

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

1. Paul J. Werbos
2. Hsuan-Tien Lin
3. Felix Alexander Gers
4. Jianyi Lin
5. Xingjian Shi
6. J. Urgen Schmidhuber
7. Xin Yao
8. Richard P. Lippmann

Papers from Di Zhang's perspective

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

1. Learning to Forget: Continual Prediction with LSTM
2. Backpropagation Through Time: What It Does and How to Do It
3. Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
4. Neural Networks: A Comprehensive Foundation
5. A Study on Sigmoid Kernels for SVM and the Training of non-PSD Kernels by SMO-type Methods
6. Evolving artificial neural networks
7. Long Short-Term Memory
8. Using support vector machines for long-term discharge prediction
9. An introduction to computing with neural nets
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• Modeling and simulating of reservoir operation using the artificial neural network, support vector regression, deep learning algorithm (2018) — 303 citations