Forecasting of chlorophyll-a concentrations in South San Francisco Bay using five different models

By Taher Rajaee, A. Boroumand. 2015

72 citations recorded by the source corpus.

Subfields: Environmental Engineering, Industrial and Manufacturing Engineering, Oceanography

View Paper: https://www.semanticscholar.org/paper/b3281f0c67fdd97b7dbee8cfc5ae73e74ab33d2f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Engineering

1. Yeqi Liu
2. Daoliang Li
3. Ling Yang
4. Lihua Song
5. Yingyi Chen

Citations in the corpus

• A Review of the Artificial Neural Network Models for Water Quality Prediction (2020, methodology): “Hybrid [7] South San Francisco bay (USA) Chl-a;; NA NA Category 0 No details (20 years) monthly Train:60%, validate: 20%, test: 20% WANN, MLR, GA-SVR 1”