Pressuremeter Modulus and Limit Pressure of Clayey Soils Using GMDH-Type Neural Network and Genetic Algorithms

Estimation of pressuremeter modulus and limit pressure of clayey soils by various artificial neural network models

Neural Computing and Applications ◽

10.1007/s00521-012-0900-y ◽

2012 ◽

Vol 23 (2) ◽

pp. 333-339 ◽

Cited By ~ 14

Author(s):

C. H. Aladag ◽

A. Kayabasi ◽

C. Gokceoglu

Keyword(s):

Neural Network ◽

Network Models ◽

Clayey Soils ◽

Neural Network Models ◽

Limit Pressure ◽

Artificial Neural ◽

Artificial Neural Network Models ◽

Prediction of limit pressure and pressuremeter modulus using artificial neural network analysis based on CPTU data

Arabian Journal of Geosciences ◽

10.1007/s12517-020-06324-4 ◽

2021 ◽

Vol 14 (1) ◽

Author(s):

Meng Wu ◽

Surya Sarat Chandra Congress ◽

Lulu Liu ◽

Guojun Cai ◽

Wei Duan ◽

...

Keyword(s):

Neural Network ◽

Network Analysis ◽

Neural Network Analysis ◽

Limit Pressure ◽

Artificial Neural Network Analysis ◽

Artificial Neural ◽

Prediction of pressuremeter modulus and limit pressure of clayey soils by simple and non-linear multiple regression techniques: a case study from Mersin, Turkey

Environmental Earth Sciences ◽

10.1007/s12665-011-1439-4 ◽

2011 ◽

Vol 66 (8) ◽

pp. 2171-2183 ◽

Cited By ~ 17

Author(s):

A. Kayabasi

Keyword(s):

Multiple Regression ◽

Clayey Soils ◽

Linear Multiple Regression ◽

Limit Pressure ◽

Non Linear ◽

Regression Techniques ◽

Optimizing Time-multiplexing Raster Cellular Neural Network simulator using genetic algorithms with RK8(6)

Indian Journal Of Applied Research ◽

10.15373/2249555x/june2013/30 ◽

2011 ◽

Vol 3 (6) ◽

pp. 87-90

Author(s):

O. H. Abdelwahed O. H. Abdelwahed ◽

◽

M. El-Sayed Wahed ◽

O. Mohamed Eldaken

Keyword(s):

Neural Network ◽

Genetic Algorithms ◽

Cellular Neural Network ◽

Network Simulator

2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems (SCIS-ISIS) ◽

Genetic Algorithms Using Neural Network Regression and Group Lasso for Dynamic Selection of Crossover Operators

10.1109/scisisis50064.2020.9322697 ◽

2020 ◽

Author(s):

Masaya Kato ◽

Miho Ohsaki ◽

Kei Ohnishi

Keyword(s):

Neural Network ◽

Genetic Algorithms ◽

Group Lasso ◽

Dynamic Selection ◽

Selection Of

Arabic Text Classification using Convolutional Neural Network and Genetic Algorithms

IEEE Access ◽

10.1109/access.2021.3091376 ◽

2021 ◽

pp. 1-1

Author(s):

Deem AlSaleh ◽

Souad Larabi-Marie-Sainte

Keyword(s):

Neural Network ◽

Genetic Algorithms ◽

Convolutional Neural Network ◽

Text Classification ◽

Arabic Text ◽

Arabic Text Classification

Pavement moduli back-calculation using artificial neural network and genetic algorithms

Construction and Building Materials ◽

10.1016/j.conbuildmat.2021.123026 ◽

2021 ◽

Vol 287 ◽

pp. 123026

Author(s):

Xiaorui Zhang ◽

Frédéric Otto ◽

Markus Oeser

Keyword(s):

Neural Network ◽

Genetic Algorithms ◽

Back Calculation ◽

Artificial Neural

Genetic algorithms based optimization of artificial neural network architecture for buildings’ indoor discomfort and energy consumption prediction

Building Simulation ◽

10.1007/s12273-012-0059-6 ◽

2012 ◽

Vol 5 (2) ◽

pp. 95-106 ◽

Cited By ~ 27

Author(s):

Florent Boithias ◽

Mohamed El Mankibi ◽

Pierre Michel

Keyword(s):

Neural Network ◽

Genetic Algorithms ◽

Energy Consumption ◽

Network Architecture ◽

Neural Network Architecture ◽

Artificial Neural Network Architecture ◽

Artificial Neural ◽

Energy Consumption Prediction ◽

Consumption Prediction

Hybridized artificial neural network classifiers with a novel feature selection procedure based genetic algorithms and information complexity in credit scoring

Applied Stochastic Models in Business and Industry ◽

10.1002/asmb.2614 ◽

2021 ◽

Author(s):

Damla Ilter ◽

Eylem Deniz ◽

Ozan Kocadagli

Keyword(s):

Neural Network ◽

Genetic Algorithms ◽

Feature Selection ◽

Credit Scoring ◽

Selection Procedure ◽

Information Complexity ◽

Artificial Neural ◽

Neural Network Classifiers

2004 Proceedings. 54th Electronic Components and Technology Conference (IEEE Cat. No.04CH37546) ◽

Modeling and optimization of multilayer LTCC inductors for RF/wireless applications using neural network and genetic algorithms

10.1109/ectc.2004.1319346 ◽

2004 ◽

Cited By ~ 8

Author(s):

R.J. Pratap ◽

S. Sarkar ◽

S. Pinel ◽

J. Laskar ◽

G.S. May

Keyword(s):

Neural Network ◽

Genetic Algorithms ◽

Modeling And Optimization ◽

Wireless Applications ◽

Rf Wireless