Mohammad Zeynoddin
Environmental Engineering · 2019
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Environmental Engineering — 8 citations into it
Whom Mohammad Zeynoddin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Mohammad Zeynoddin's perspective
Ordered by how strongly the researchers Mohammad Zeynoddin trusts endorse each paper. Same corpus, a different order for every researcher.
- A new optimizer using particle swarm theory
- Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review
- Genetic Algorithms in Search Optimization and Machine Learning
- Support-Vector Networks
- Prediction of rainfall time series using modular artificial neural networks coupled with data-preprocessing techniques
- A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series
- Modeling of the daily rainfall-runoff relationship with artificial neural network
- Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition (IEEE Congress on Evolutionary Computation)
- Two hybrid Artificial Intelligence approaches for modeling rainfall–runoff process
- Polynomial Theory of Complex Systems
Their papers
- New insights into soil temperature time series modeling: linear or nonlinear? (2019) — 65 citations
- A reliable linear stochastic daily soil temperature forecast model (2019) — 80 citations