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ORCIDInternational Journal of Computational Intelligence and Applications, Volume 1
Volume 1, Number 1, March 2001
- Keiichi Horio, Takeshi Yamakawa:
Feedback Self-Organizing Map and its Application to Spatio-Temporal Pattern Classification. 1-18 - Witold Pedrycz, Adam Gacek:
Learning of Fuzzy Automata. 19-33 - Juan M. Corchado, Brian Lees, Jim Aiken:
Hybrid Instance-Based System for Predicting Ocean Temperatures. 35-52 - Younès Bennani
, Fabrice Bossaert:
Modular Connectionist Modelling and Classification Approaches for Local Diagnosis in Telecommunication Traffic Management. 53-70 - Stephen Oman, Padraig Cunningham:
Using Case Retrieval to Seed Genetic Algorithms. 71-82 - Xiangdong Wang, Shoujue Wang:
The Application of Feedforward Neural Networks in VLSI Fabrication Process Optimization. 83-90 - Gary William Grewal, Thomas Charles Wilson:
An Enhanced Genetic Algorithm for Solving the High-Level Synthesis Problems of Scheduling, Allocation, and Binding. 91-110
Volume 1, Number 2, June 2001
- Volker Stephan, Klaus Debes, Horst-Michael Gross, F. Wintrich, H. Wintrich:
A New Control Scheme for Combustion Processes Using Reinforcement Learning Based on Neural Networks. 121-136 - Hyoung K. Lee, Suk I. Yoo:
A Neural Network-Based Image Retrieval Using Nonlinear Combination of Heterogeneous Features. 137-149 - Xiao Zhi Gao, Seppo J. Ovaska:
Fuzzy Power Command Enhancement in Mobile Communications Systems. 151-163 - Gary G. Yen, Qiang Fu:
Automatic Frog Calls Monitoring System: A Machine Learning Approach. 165-186 - Siow San Quek, Chee Peng Lim, Kok Khiang Peh:
Prediction of Drug Dissolution Profiles Using Artificial Neural Networks. 187-202 - Jaya Sil, Amit Konar:
A Hybrid Approach to Knowledge Acquisition Using Neural Petri Nets and DS Theory. 203-223
Volume 1, Number 3, September 2001
- Leandro Nunes de Castro, Fernando J. Von Zuben:
Immune and Neural Network Models: Theoretical and Empirical Comparisons. 239-257 - Henry Selvaraj, Piotr Sapiecha, Tadeusz Luba:
Functional Decomposition and Its Applications in Machine Learning and Neural Networks. 259-271 - Paul A. Boxer:
Learning Naive Physics by Visual Observation: Using Qualitative Spatial Representations and Probabilistic Reasoning. 273-285 - Patrice Wira, Jean-Philippe Urban:
Predicting Unknown Motion for Model Independent Visual Servoing. 287-302 - Zhi-Qiang Liu, Yajun Zhang:
Compensation Competitive Learning. 303-322
Volume 1, Number 4, December 2001
- Zhi-Hua Zhou, Jianxin Wu, Wei Tang, Zhaoqian Chen:
Combining Regression Estimators: GA-Based Selective Neural Network Ensemble. 341-356 - Henry Wai Kit Chia, Chew Lim Tan:
Neural Logic Network Learning Using Genetic Programming. 357-368 - Kenneth McGarry, Stefan Wermter, John MacIntyre:
The Extraction and Comparison of Knowledge from Local Function Networks. 369-382 - Benjamin W. Wah, Minglun Qian:
Violation-Guided Neural-Network Learning for Constrained Formulations in Time-Series Predictions. 383-397 - Daniel S. Yeung, Shenshan Qiu, Eric C. C. Tsang, Xizhao Wang:
A General Updating Rule for Discrete Hopfield-Type Neural Network with Time-Delay and the Corresponding Search Algorithm. 399-412 - Fredrik Linåker, Henrik Jacobsson:
Learning Delayed Response Tasks Through Unsupervised Event Extraction. 413-426 - Sven Behnke:
Learning Iterative Image Reconstruction in the Neural Abstraction Pyramid. 427-438 - Raymond S. T. Lee, James N. K. Liu:
NORN Predictor - Stock Prediction Using a Neural Oscillatory-based Recurrent Network. 439-451
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