Neural network modeling of hydrological systems: A review of implementation techniques
This paper presents a review of procedural steps and implementation techniques used in
the development of artificial intelligence models, generally referred to as artificial neural …
the development of artificial intelligence models, generally referred to as artificial neural …
Optimization of biogas generation using anaerobic digestion models and computational intelligence approaches
Anaerobic digestion (AD) technology has become popular and is widely used due to its
ability to produce renewable energy from wastes. The bioenergy produced in anaerobic …
ability to produce renewable energy from wastes. The bioenergy produced in anaerobic …
Inflow forecast of iranamadu reservoir, Sri Lanka, under projected climate scenarios using artificial neural networks
C Karunanayake, MB Gunathilake… - … Intelligence and Soft …, 2020 - Wiley Online Library
Prediction of water resources for future years takes much attention from the water resources
planners and relevant authorities. However, traditional computational models like hydrologic …
planners and relevant authorities. However, traditional computational models like hydrologic …
Water demand modelling using evolutionary computation techniques: integrating water equity and justice for realization of the sustainable development goals
The purpose of this review is to establish and classify the diverse ways in which evolutionary
computation (EC) techniques have been employed in water demand modelling and to …
computation (EC) techniques have been employed in water demand modelling and to …
River flow forecasting using an improved artificial neural network
Artificial neural network (ANN) is a popular data-driven modelling technique that has found
application in river flow forecasting over the last two decades. This can be attributed to its …
application in river flow forecasting over the last two decades. This can be attributed to its …
Real-time optimal water allocation for daily hydropower generation from the Vanderkloof dam, South Africa
O Olofintoye, F Otieno, J Adeyemo - Applied Soft Computing, 2016 - Elsevier
The adverse effects of power shortages resulting from escalating energy demands, due to
rapid global urbanization and industrial developments, have driven efforts worldwide in …
rapid global urbanization and industrial developments, have driven efforts worldwide in …
An Artificial Intelligence Approach to Manage Crop Water Requirements in South Africa
Estimation of crop water requirements is of paramount importance towards the management
of agricultural water resources, which is a major mitigating strategy against the effects of …
of agricultural water resources, which is a major mitigating strategy against the effects of …
[PDF][PDF] Research Article Inflow Forecast of Iranamadu Reservoir, Sri Lanka, under Projected Climate Scenarios Using Artificial Neural Networks
C Karunanayake, MB Gunathilake, U Rathnayake - 2020 - academia.edu
Prediction of water resources for future years takes much attention from the water resources
planners and relevant authorities. However, traditional computational models like hydrologic …
planners and relevant authorities. However, traditional computational models like hydrologic …
Applications of Differential Evolution in Polymerization Reaction Engineering
EN Dragoi, S Curteanu - Differential Evolution in Chemical …, 2017 - World Scientific
This chapter focuses on applications of differential evolution (DE) in the field of
polymerization reaction engineering. DE can be applied for modeling and for process …
polymerization reaction engineering. DE can be applied for modeling and for process …