Skip to main content

Neural Computing and Applications

Ausgabe 2/2014

Inhalt (23 Artikel)

Original Article

A linear hybrid methodology for improving accuracy of time series forecasting

Ratnadip Adhikari, R. K. Agrawal

Original Article

Hybrid memristor/RTD structure-based cellular neural networks with applications in image processing

Shukai Duan, Xiaofang Hu, Lidan Wang, Shiyong Gao, Chuandong Li

Original Article

Hybrid krill herd algorithm with differential evolution for global numerical optimization

Gai-Ge Wang, Amir H. Gandomi, Amir H. Alavi, Guo-Sheng Hao

Original Article

The effectiveness of the combined use of VIX and Support Vector Machines on the prediction of S&P 500

Rafael Rosillo, Javier Giner, David de la Fuente

Original Article

Adaptive subspace learning: an iterative approach for document clustering

Xian Wu, Xiaoming Chen, Xiang Li, Lingli Zhou, Jianhuang Lai

Original Article

A fuzzy system approach to multilateral automated negotiation in B2C e-commerce

Bahador Shojaiemehr, Marjan Kuchaki Rafsanjani

Original Article

An optimized authentication protocol for mobile networks

Mir-Kamran Mahshid, Reza Eslamipoor

Original Article

A new gear fault feature extraction method based on hybrid time–frequency analysis

Wenyi Liu, Jiguang Han, Xiangning Lu

Original Article

Memristor crossbar-based unsupervised image learning

Ling Chen, Chuandong Li, Tingwen Huang, Yiran Chen, Xin Wang

Original Article

Support vector set selection using pulse-coupled neural networks

Yunxia Li, Zhang Yi, Jian Cheng Lv

Original Article

Applications and analysis of bio-inspired eagle strategy for engineering optimization

Xin-She Yang, Mehmet Karamanoglu, T. O. Ting, Yu-Xin Zhao

Original Article

Predicting phishing websites based on self-structuring neural network

Rami M. Mohammad, Fadi Thabtah, Lee McCluskey

Original Article

Bat algorithm based on simulated annealing and Gaussian perturbations

Xing-shi He, Wen-Jing Ding, Xin-She Yang

Original Article

Transfer learning using the online Fuzzy Min–Max neural network

Manjeevan Seera, Chee Peng Lim