Tiantian Yang

Model Architectures · with Di · 2014–2018

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Model Architectures — 5 citations into it

Whom Tiantian Yang trusts

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

1. Paul J. Werbos (in Model Architectures)

Papers from Tiantian Yang's perspective

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

1. Backpropagation Through Time: What It Does and How to Do It
2. Learning to Forget: Continual Prediction with LSTM
3. An overview of CMIP5 and the experiment design
4. Neural Networks: A Comprehensive Foundation
5. Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
6. The use of the multi-model ensemble in probabilistic climate projections (Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences)
7. Improvement of the Multimodel Superensemble Technique for Seasonal Forecasts
8. A Study on Sigmoid Kernels for SVM and the Training of non-PSD Kernels by SMO-type Methods
9. Can multi‐model combination really enhance the prediction skill of probabilistic ensemble forecasts?
10. Prioritizing Climate Change Adaptation Needs for Food Security in 2030 (Science)

Their papers

• Modeling and simulating of reservoir operation using the artificial neural network, support vector regression, deep learning algorithm (2018) — 303 citations
• Assessment of CMIP5 climate models and projected temperature changes over Northern Eurasia (2014) — 215 citations