Neural networks in fisheries research
I Suryanarayana, A Braibanti, RS Rao, VA Ramam… - Fisheries …, 2008 - Elsevier
Piscimetrics deals with software implementation of experimental design, second-generation
artificial intelligence tools, viz. Neural Nets (NNs), genetic algorithms, Fuzzy Logic, Expert …
artificial intelligence tools, viz. Neural Nets (NNs), genetic algorithms, Fuzzy Logic, Expert …
Improved irrigation water demand forecasting using a soft-computing hybrid model
I Pulido-Calvo, JC Gutiérrez-Estrada - Biosystems engineering, 2009 - Elsevier
Recently, Computational Neural Networks (CNNs) and fuzzy inference systems have been
successfully applied to time series forecasting. In this study the performance of a hybrid …
successfully applied to time series forecasting. In this study the performance of a hybrid …
A time series model adapted to multiple environments for recirculating aquaculture systems
G Liu, Y Jiang, K Zhong, Y Yang, Y Wang - Aquaculture, 2023 - Elsevier
Environmental time series modeling of recirculating aquaculture systems provides the basis
for the design of intelligent and foreseeable agricultural facilities. The modeling accuracy of …
for the design of intelligent and foreseeable agricultural facilities. The modeling accuracy of …
Z-numbers based novel method for assessing groundwater specific vulnerability
Groundwater vulnerability assessment systems are developed to achieve a suitable method
for protecting groundwater resources from contaminants. One of the well-known approaches …
for protecting groundwater resources from contaminants. One of the well-known approaches …
Predicting fuelwood prices in Greece with the use of ARIMA models, artificial neural networks and a hybrid ARIMA–ANN model
T Koutroumanidis, K Ioannou, G Arabatzis - Energy Policy, 2009 - Elsevier
Throughout history, energy resources have acquired a strategic significance for the
economic growth and social welfare of any country. The large-scale oil crisis of 1973 …
economic growth and social welfare of any country. The large-scale oil crisis of 1973 …
Supervised committee machine with artificial intelligence for prediction of fluoride concentration
The study introduces a supervised committee machine with artificial intelligence (SCMAI)
method to predict fluoride in ground water of Maku, Iran. Ground water is the main source of …
method to predict fluoride in ground water of Maku, Iran. Ground water is the main source of …
A fuzzy logic-based approach for groundwater vulnerability assessment
Groundwater vulnerability assessment systems have been developed to protect
groundwater resources. The DRASTIC model calculates the vulnerability index of the aquifer …
groundwater resources. The DRASTIC model calculates the vulnerability index of the aquifer …
Z-number based assessment of groundwater vulnerability to seawater intrusion
Groundwater (GW) quality assessment is an essential issue, especially in arid and semi-arid
regions, due to its critical role in obtaining requirements for freshwater. The GALDIT method …
regions, due to its critical role in obtaining requirements for freshwater. The GALDIT method …
Linear regressions and neural approaches to water demand forecasting in irrigation districts with telemetry systems
I Pulido-Calvo, P Montesinos, J Roldán… - Biosystems …, 2007 - Elsevier
Information regarding water demand is key to managing consumption in irrigation districts.
Forecasting water demand is one of the main problems for designers and managers of water …
Forecasting water demand is one of the main problems for designers and managers of water …
Application of neural approaches to one-step daily flow forecasting in Portuguese watersheds
I Pulido-Calvo, MM Portela - Journal of Hydrology, 2007 - Elsevier
Since a few years ago, the computational neural networks (CNNs) had become one of the
most promising tools for stream flow forecasting. However, most of the works presented in …
most promising tools for stream flow forecasting. However, most of the works presented in …