[HTML][HTML] Land use land cover change modeling by integrating artificial neural network with cellular Automata-Markov chain model in Gidabo river basin, main …
Modeling land use land cover (LULC) change is crucial to understand its spatiotemporal
trends to protect the land resources sustainably. The appraisal of this study was to model …
trends to protect the land resources sustainably. The appraisal of this study was to model …
Comparison of artificial neural network and logistic regression models for prediction of outcomes in trauma patients: A systematic review and meta-analysis
Background Currently, two models of artificial neural network (ANN) and logistic regression
(LR) are known as models that extensively used in medical sciences. The aim of this study …
(LR) are known as models that extensively used in medical sciences. The aim of this study …
[HTML][HTML] Land use land cover change detection and urban sprawl prediction for Kuwait metropolitan region, using multi-layer perceptron neural networks (MLPNN)
With the rapid expansion of cities, monitoring urban sprawl is recognized as a vital tool by
many researchers who use this information in several applications like urban planning …
many researchers who use this information in several applications like urban planning …
A neural network-based model for predicting Saybolt color of petroleum products
Saybolt color is a standard measurement scale used to determine the quality of petroleum
products and the appropriate refinement process. However, the current color measurement …
products and the appropriate refinement process. However, the current color measurement …
Applying GMDH neural network to estimate the thermal resistance and thermal conductivity of pulsating heat pipes
MH Ahmadi, M Sadeghzadeh, AH Raffiee… - … of Computational Fluid …, 2019 - Taylor & Francis
Thermal performance of pulsating heat pipes (PHPs) is dependent to several factors. Inner
and outer diameter of tube, filling ratio, thermal conductivity, heat input, inclination angle …
and outer diameter of tube, filling ratio, thermal conductivity, heat input, inclination angle …
GMDH modeling and experimental investigation of thermal performance enhancement of hemispherical cavity receiver using MWCNT/oil nanofluid
Nowadays, nanofluids are introduced as an effective technique for enhancing the thermal
efficiency in solar collectors. In this work, the MWCNT/oil nanofluid with 0.8% nanoparticle …
efficiency in solar collectors. In this work, the MWCNT/oil nanofluid with 0.8% nanoparticle …
Using GMDH neural networks to model the power and torque of a stirling engine
Different variables affect the performance of the Stirling engine and are considered in
optimization and designing activities. Among these factors, torque and power have the …
optimization and designing activities. Among these factors, torque and power have the …
Comparison between artificial neural network and rigorous mathematical model in simulation of industrial heavy naphtha reforming process
In this study, an artificial neural network (ANN) model was developed and compared with a
rigorous mathematical model (RMM) to estimate the performance of an industrial heavy …
rigorous mathematical model (RMM) to estimate the performance of an industrial heavy …
Hydroisomerisation and Hydrocracking of n-Heptane: Modelling and Optimisation Using a Hybrid Artificial Neural Network–Genetic Algorithm (ANN–GA)
In this paper, the focus is on upgrading the value of naphtha compounds represented by n-
heptane (n-C7H16) with zero octane number using a commercial zeolite catalyst consisting …
heptane (n-C7H16) with zero octane number using a commercial zeolite catalyst consisting …
An artificial neural network approach to predict the effects of formulation and process variables on prednisone release from a multipartite system
The impact of formulation and process variables on the in-vitro release of prednisone from a
multiple-unit pellet system was investigated. Box-Behnken Response Surface Methodology …
multiple-unit pellet system was investigated. Box-Behnken Response Surface Methodology …