An ant colony optimisation and Nelder-Mead simplex hybrid algorithm for training neural networks: an application to bankruptcy prediction in banks

Author： Sharma Nigib

Publisher： Inderscience Publishers

ISSN： 1756-7017

Source： International Journal of Information and Decision Sciences, Vol.5, Iss.2, 2013-05, pp. : 188-203

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Hybrid differential evolution and Nelder–Mead algorithm with re-optimization

By Gao Zhenxiao Xiao Tianyuan Fan Wenhui

Soft Computing, Vol. 15, Iss. 3, 2011-03 ,pp. : 581-594

Springer Publishing Company

Access to resources Recommend Favorite

An ant colony optimization algorithm for continuous optimization: application to feed-forward neural network training

By Socha Krzysztof Blum Christian

Neural Computing & Applications, Vol. 16, Iss. 3, 2007-05 ,pp. : 235-247

Springer Publishing Company

Access to resources Recommend Favorite

Application with a hybrid ant colony optimisation in motif detecting problem

By Zhang Yi Zhang Meng Pei Zhili

International Journal of Computer Applications in Technology, Vol. 44, Iss. 2, 2012-08 ,pp. : 88-93

Inderscience Publishers

Access to resources Recommend Favorite

A Hybrid Training Algorithm for Feedforward Neural Networks

By Nasr Mounir Chtourou Mohamed

Neural Processing Letters, Vol. 24, Iss. 2, 2006-10 ,pp. : 107-117

Springer Publishing Company

Access to resources Recommend Favorite

Nelder-Mead Simplex Optimization Routine for Large-Scale Problems: A Distributed Memory Implementation

By Klein Kyle Neira Julian

Computational Economics, Vol. 43, Iss. 4, 2014-04 ,pp. : 447-461

Springer Publishing Company

Access to resources Recommend Favorite