![](https://dblp.dagstuhl.de/img/logo.ua.320x120.png)
![](https://dblp.dagstuhl.de/img/dropdown.dark.16x16.png)
![](https://dblp.dagstuhl.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.dagstuhl.de/img/search.dark.16x16.png)
![search dblp](https://dblp.dagstuhl.de/img/search.dark.16x16.png)
default search action
International Journal of Computational Intelligence and Applications, Volume 10
Volume 10, Number 1, March 2011
- Vladimir Nikulin, Tian-Hsiang Huang, Geoffrey J. McLachlan
:
Classification of High-Dimensional microarray Data with a Two-Step Procedure via a Wilcoxon Criterion and Multilayer Perceptron. 1-14 - Yuanyuan Chai, Limin Jia:
Choquet Integral-OWA Based Adaptive Neural Fuzzy Inference System with Application. 15-34 - Wenyin Gong, Zhihua Cai, Liyuan Jia, Hui Li:
A Generalized Hybrid Generation Scheme of Differential Evolution for Global Numerical Optimization. 35-65 - C. Treesatayapun:
Stabilized Nonlinear Discrete-Time Adaptive Controller Based on Fuzzy Rules Emulated Networks and Time Varying Learning Rate. 67-85 - Ali Selamat, Zhi-Sam Lee, Mohd Aizaini Maarof, Siti Mariyam Hj. Shamsuddin:
Improved Web Page Identification Method Using Neural Networks. 87-114
Volume 10, Number 2, June 2011
- Moayed Daneshyari, Gary G. Yen
:
Cultural Multiobjective PSO with Sensitivity Analysis for Parameters Using Additive Binary epsilon Indicator. 121-139 - Mahua Bhattacharya
, Naveen Sharma, Vaibhav Goyal, Sagar Bhatia, Arpita Das:
A Study on Genetic Algorithm Based Hybrid Softcomputing Model for Benignancy/Malignancy Detection of Masses Using Digital Mammogram. 141-165 - Ayaz A. Shaikh, Dinesh K. Kumar
, Jayavardhana Gubbi:
Visual Speech Recognition Using Optical Flow and Support Vector Machines. 167-187 - Yangpo Song, Xiaoqi Peng:
Modeling Method Using Combined Artificial Neural Network. 189-198 - Jie Zhang, Jie Lu
, Guangquan Zhang
:
A Seasonal Auto-Regressive Model Based Support Vector Regression Prediction Method for H5N1 avian Influenza Animal Events. 199-230 - Agustina Bouchet
, Juan Ignacio Pastore, Rafael Espin Andrade, Marcel Brun
, Virginia Laura Ballarin
:
Arithmetic Mean Based Compensatory Fuzzy Logic. 231-243
Volume 10, Number 3, September 2011
- Sunil Rao, Igor Aleksander:
A Neural Mechanism for Function Application in Visual Awareness Models. 249-267 - Amar Khoukhi, Munirudeen Oloso, Moustafa Elshafei, Abdulaziz Abdulraheem, Abdulaziz Al-Majed:
Support Vector Regression and Functional Networks for viscosity and Gas/Oil Ratio Curves Estimation. 269-293 - Oliver Kramer, Holger Danielsiek:
A Clustering-Based Niching Framework for the Approximation of Equivalent Pareto-Subsets. 295-311 - Ramji M. Makwana, Vishvjit K. Thakar, Narendra C. Chauhan:
Fuzzy Measure Based Adaptive Methods for Illumination Invariant Face Recognition. 313-333 - Sai-Ho Ling
, Frank Jiang, Hung T. Nguyen
, Kit Yan Chan:
Hybrid Fuzzy Logic-Based Particle Swarm Optimization for Flow shop Scheduling Problem. 335-356 - Abdallah Hammad, Simon X. Yang
, M. Tarek Elewa, Hala Mansour, Salah Ali:
Virtual Instrumentation Based Systems for Real-Time Path Planning of Mobile Robots Using Bio-Inspired Neural Networks. 357-375
Volume 10, Number 4, December 2011
- Han-Bing Liu, Yu-Bo Jiao:
Application of Genetic Algorithm-Support Vector Machine (GA-SVM) for Damage Identification of Bridge. 383-397 - P. Subbaraj, Kannapiran Balasubramanian
:
Adaptive Neuro-Fuzzy Inference System Approach for Fault Detection and Diagnosis of Pneumatic Valve in Cement Industry. 399-423 - Jie Zhang, Jie Lu
, Guangquan Zhang
:
Joint Sub-Classifiers One Class Classification Model for avian Influenza Outbreak Detection. 425-443 - Anand J. Kulkarni
, Kang Tai
:
Solving Constrained Optimization Problems Using Probability Collectives and a Penalty Function Approach. 445-470 - G. Wiselin Jiji, Henry Selvaraj, G. Evelin Suji:
Supervised Classification of White Blood Cells by Fusion of Color Texture Features and Neural Network. 471-480 - Peter McLeod, Brijesh K. Verma
:
Multi-Cluster Support Vector Machine Classifier for the Classification of Suspicious Areas in Digital Mammograms. 481-494
![](https://dblp.dagstuhl.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.