A massively parallel architecture for a self-organizing neural pattern recognition machine
Computer Vision, Graphics, and Image Processing
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Time Series Analysis, Forecasting and Control
Time Series Analysis, Forecasting and Control
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Introduction to Evolutionary Computing
Introduction to Evolutionary Computing
HIS '06 Proceedings of the Sixth International Conference on Hybrid Intelligent Systems
Investigation of a New Artificial Immune System Model Applied to Pattern Recognition
HIS '06 Proceedings of the Sixth International Conference on Hybrid Intelligent Systems
Artificial Immune System with ART Memory Hibridization
HIS '07 Proceedings of the 7th International Conference on Hybrid Intelligent Systems
Advances in artificial immune systems
IEEE Computational Intelligence Magazine
A tutorial for competent memetic algorithms: model, taxonomy, and design issues
IEEE Transactions on Evolutionary Computation
| Hi-index | 0.00 |
The present work proposes an integration of Clonal Adaptive Resonance Theory framework (Clonart) with Radial Basis Function (RBF) called ClonalRBF. This framework was already used in a handwritten digit classification problem, a forecasting for the Brazilian Energy Distribution System and now a Time Series Analysis in Gas Furnace and Mackey-Glass databases. In Clonart, the population memory was organized using an ART 1 network and in the new approach it was organized using a RBF network. This framework has biologically inspired characteristics like the grouping of similar antibodies and memory antibodies. It was studied to allow the evolution of the artificial immune system. The focus of this study was to evaluate the ClonalRBF and to compare with Clonart using these two databases.