An advanced active set L-BFGS algorithm for training weight-constrained neural networks

An improved weight-constrained neural network training algorithm

(2019) Ioannis E. Livieris et al.   NEURAL COMPUTING & APPLICATIONS

An adaptive nonmonotone active set – weight constrained – neural network training algorithm

(2019) Ioannis E. Livieris et al.   NEUROCOMPUTING

Cost-sensitive and hybrid-attribute measure multi-decision tree over imbalanced data sets

(2018) Fenglian Li et al.   INFORMATION SCIENCES

A new efficient training strategy for deep neural networks by hybridization of artificial bee colony and limited–memory BFGS optimization algorithms

(2017) Hasan Badem et al.   NEUROCOMPUTING

Conjugate gradient back-propagation based artificial neural network for real time power quality assessment

(2016) Chetan B. Khadse et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

An efficient model based on artificial bee colony optimization algorithm with Neural Networks for electric load forecasting

(2014) Shahid M. Awan et al.   NEURAL COMPUTING & APPLICATIONS

Prediction model for compressive strength of basic concrete mixture using artificial neural networks

(2014) Srđan Kostić et al.   NEURAL COMPUTING & APPLICATIONS

Predicting Douglas-fir wood density by artificial neural networks (ANN) based on progeny testing information

(2013) Lazaros Iliadis et al.   HOLZFORSCHUNG

Fast neural network learning algorithms for medical applications

(2012) Ahmad Taher Azar   NEURAL COMPUTING & APPLICATIONS

The use of neural networks for the prediction of the settlement of one-way footings on cohesionless soils based on standard penetration test

(2012) Yusuf Erzin et al.   NEURAL COMPUTING & APPLICATIONS

New cautious BFGS algorithm based on modified Armijo-type line search

(2012) Zhong Wan et al.   JOURNAL OF INEQUALITIES AND APPLICATIONS

An active set limited memory BFGS algorithm for bound constrained optimization

(2011) Gonglin Yuan et al.   APPLIED MATHEMATICAL MODELLING

Modified nonmonotone Armijo line search for descent method

(2010) Zhenjun Shi et al.   NUMERICAL ALGORITHMS