Junqiang Lin

Model Architectures · 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 Junqiang Lin trusts overall

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

1. Paul J. Werbos
2. Hsuan-Tien Lin
3. Felix Alexander Gers

Papers from Junqiang Lin's perspective

Ordered by how strongly the researchers Junqiang Lin 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. Using support vector machines for long-term discharge prediction
8. An introduction to computing with neural nets
9. Input variable selection for water resources systems using a modified minimum redundancy maximum relevance (mMRMR) algorithm
10. Long Short-Term Memory

Their papers

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