Evaluation of feature selection methods based on artificial neural network weights

Comparison of the different artificial neural networks in prediction of biomass gasification products

(2019) Ozgun Yucel et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

A deep neural network based classifier for brain tumor diagnosis

(2019) Ambeshwar Kumar et al.   APPLIED SOFT COMPUTING

Removal of impulse noise in color images based on convolutional neural network

(2019) Wenhua Zhang et al.   APPLIED SOFT COMPUTING

Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network

(2019) Vivek Kumar Singh et al.   EXPERT SYSTEMS WITH APPLICATIONS

Element selection and concentration analysis for classifying South America wine samples according to the country of origin

(2018) Felipe Soares et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Geographical recognition of Syrah wines by combining feature selection with Extreme Learning Machine

(2018) Nattane Luíza da Costa et al.   MEASUREMENT

Application of Statistical and Machine Learning Techniques for Laboratory-Scale Pressure Filtration: Modeling and Analysis of Cake Moisture

(2018) Gireesh S. S. Raman et al.   Mineral Processing and Extractive Metallurgy Review

A comparison of non-linear regression methods for improved on-line near infrared spectroscopic analysis of a sugarcane quality measure

(2018) Justin Sexton et al.   JOURNAL OF NEAR INFRARED SPECTROSCOPY

Next generation prediction model for daily solar radiation on horizontal surface using a hybrid neural network and simulated annealing method

(2017) Seyyed Mohammad Mousavi et al.   ENERGY CONVERSION AND MANAGEMENT

Assessment of the water quality monitoring network of the Piabanha River experimental watersheds in Rio de Janeiro, Brazil, using autoassociative neural networks

(2017) Mariana D. Villas-Boas et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Applying an artificial neural network approach to the analysis of tractive properties in changing soil conditions

(2017) Katarzyna Pentoś et al.   SOIL & TILLAGE RESEARCH

The methods of extracting the contribution of variables in artificial neural network models – Comparison of inherent instability

(2016) Katarzyna Pentoś   COMPUTERS AND ELECTRONICS IN AGRICULTURE

PRELIMINARY MODELING OF AN INDUSTRIAL RECOMBINANT HUMAN ERYTHROPOIETIN PURIFICATION PROCESS BY ARTIFICIAL NEURAL NETWORKS

(2015) R. H. R. Garcel1 et al.   BRAZILIAN JOURNAL OF CHEMICAL ENGINEERING

How to determine the unique contributions of input-variables to the nonlinear regression function of a multilayer perceptron

(2015) Andreas Fischer   ECOLOGICAL MODELLING

Interpretation of Bayesian neural networks for predicting the duration of detected incidents

(2015) Hyoshin Park et al.   Journal of Intelligent Transportation Systems

Neural network models for group behavior prediction: a case of soccer match attendance

(2015) Damjan Strnad et al.   NEURAL COMPUTING & APPLICATIONS

Explicit formulation of bearing capacity of shallow foundations on rock masses using artificial neural networks: application and supplementary studies

(2014) Seyed Ali Ziaee et al.   Environmental Earth Sciences

Neural networks for analyzing service quality in public transportation

(2014) Concepción Garrido et al.   EXPERT SYSTEMS WITH APPLICATIONS

Extracting the contribution of independent variables in neural network models: a new approach to handle instability

(2014) Juan de Oña et al.   NEURAL COMPUTING & APPLICATIONS

Effect of different features to drill-wear prediction with back propagation neural network

(2014) Jie Xu et al.   PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY

A survey on feature selection methods

(2013) Girish Chandrashekar et al.   COMPUTERS & ELECTRICAL ENGINEERING

Sensitivity analysis of the artificial neural network outputs in simulation of the evaporation process at different climatologic regimes

(2012) Vahid Nourani et al.   ADVANCES IN ENGINEERING SOFTWARE

A multi-industry bankruptcy prediction model using back-propagation neural network and multivariate discriminant analysis

(2012) Sangjae Lee et al.   EXPERT SYSTEMS WITH APPLICATIONS

Assessing the contribution of variables in feed forward neural network

(2011) Mukta Paliwal et al.   APPLIED SOFT COMPUTING

Single stage and multistage classification models for the prediction of liver fibrosis degree in patients with chronic hepatitis C infection

(2011) Ahmed M. Hashem et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

A novel method for mapping reefs and subtidal rocky habitats using artificial neural networks

(2011) Michael J. Watts et al.   ECOLOGICAL MODELLING

Evaluation of neural network variable influence measures for process control

(2011) Christopher W. Zobel et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A neural network-based approach of quantifying relative importance among various determinants toward organizational innovation

(2011) T.C. Wong et al.   EXPERT SYSTEMS WITH APPLICATIONS

Analyzing supply chain operation models with the PC-algorithm and the neural network

(2010) T.C. Wong et al.   EXPERT SYSTEMS WITH APPLICATIONS

The hybrid model of neural networks and genetic algorithms for the design of controls for internet-based systems for business-to-consumer electronic commerce

(2010) Sangjae Lee et al.   EXPERT SYSTEMS WITH APPLICATIONS

An artificial neural network improves the non-invasive diagnosis of significant fibrosis in HIV/HCV coinfected patients

(2010) Salvador Resino et al.   JOURNAL OF INFECTION

Removal of Cr(VI) from polluted solutions by electrocoagulation: Modeling of experimental results using artificial neural network

(2009) S. Aber et al.   JOURNAL OF HAZARDOUS MATERIALS