Modeling groundwater fluctuations by three different evolutionary neural network techniques using hydroclimatic data

Imperialist competitive algorithm for optimal STATCOM design in a multimachine power system

(2016) S.M. Abd-Elazim et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Evaluating two sparse grid surrogates and two adaptation criteria for groundwater Bayesian uncertainty quantification

(2016) Xiankui Zeng et al.   JOURNAL OF HYDROLOGY

Long-term monthly evapotranspiration modeling by several data-driven methods without climatic data

(2015) Ozgur Kisi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Improving water saturation estimation in a tight shaly sandstone reservoir using artificial neural network optimized by imperialist competitive algorithm – A case study

(2015) Morteza Amiri et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Using Artificial Neural Network Approach for Simultaneous Forecasting of Weekly Groundwater Levels at Multiple Sites

(2015) S. Mohanty et al.   WATER RESOURCES MANAGEMENT

Short-term forecasting of groundwater levels under conditions of mine-tailings recharge using wavelet ensemble neural network models

(2014) Bahaa Khalil et al.   HYDROGEOLOGY JOURNAL

Artificial neural network – Imperialist competitive algorithm based optimization for removal of sunset yellow using Zn(OH)2 nanoparticles-activated carbon

(2014) M. Ghaedi et al.   JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY

Modeling soil temperatures at different depths by using three different neural computing techniques

(2014) Ozgur Kisi et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Performance of radial basis and LM-feed forward artificial neural networks for predicting daily watershed runoff

(2013) Mohammad Zounemat-kermani et al.   APPLIED SOFT COMPUTING

Development of an artificial neural network based multi-model ensemble to estimate the northeast monsoon rainfall over south peninsular India: an application of extreme learning machine

(2013) Nachiketa Acharya et al.   CLIMATE DYNAMICS

Hourly predictive Levenberg–Marquardt ANN and multi linear regression models for predicting of dew point temperature

(2012) Mohammad Zounemat-Kermani   METEOROLOGY AND ATMOSPHERIC PHYSICS

Application of Artificial Neural Networks and Particle Swarm Optimization for the Management of Groundwater Resources

(2012) Shishir Gaur et al.   WATER RESOURCES MANAGEMENT

Comparing the performance of neural networks developed by using Levenberg–Marquardt and Quasi-Newton with the gradient descent algorithm for modelling a multiple response grinding process

(2011) Indrajit Mukherjee et al.   EXPERT SYSTEMS WITH APPLICATIONS

A wavelet neural network conjunction model for groundwater level forecasting

(2011) Jan Adamowski et al.   JOURNAL OF HYDROLOGY

Solving the integrated product mix-outsourcing problem using the Imperialist Competitive Algorithm

(2010) S. Nazari-Shirkouhi et al.   EXPERT SYSTEMS WITH APPLICATIONS

A comparative study of artificial neural networks and support vector machines for predicting groundwater levels in a coastal aquifer

(2010) Heesung Yoon et al.   JOURNAL OF HYDROLOGY

Hybrid neural modeling for groundwater level prediction

(2010) Nikunja B. Dash et al.   NEURAL COMPUTING & APPLICATIONS