Cognitive Engine Based on ART1 and FAM Neural Network
Yuqing Huang · Journal of Southwest University of Science and Technology · 2012
Cognitive engine(CR) is one of the key technologies of cognitive radio,and its core is utilizing artificial intelligence to achieve the ability of learning,reasoning and decision.This paper presents a cognitive engine based on ART1 and FAM neural network to adapt varied environment and user's needs.In the wireless environment based on 802.11a simulation platform,the engine can learn the environment informant,reason the best working parameters and realize the CR configurations on the conditions of channel characters and user's needs.The simulation results improve that the proposed cognitive engine can effectively realize the learning and reasoning function,and its accuracy and stability are both better than those of SVM and BP network.