Lin Jia
IEEE Sensors Journal · with Zhao · 2019
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Lin Jia trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Lin Jia's perspective
Ordered by how strongly the researchers Lin Jia trusts endorse each paper. Same corpus, a different order for every researcher.
- Comparing inertia weights and constriction factors in particle swarm optimization (Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512))
- A new optimizer using particle swarm theory
- Data-driven input variable selection for rainfall-runoff modeling using binary-coded particle swarm optimization and Extreme Learning Machines
- A new look at the statistical model identification
- Multilayer feedforward networks are universal approximators
- Asymptotic statistical theory of overtraining and cross-validation
- Comparison of Several Flood Forecasting Models in Yangtze River
- Daily reservoir inflow forecasting using artificial neural networks with stopped training approach
- Artificial neural network modeling of water table depth fluctuations
- Groundwater level forecasting using artificial neural networks