Title :
The Application of the Ant Colony Pheromones in Intelligent Learning
Author :
Cuiru, Wang ; Yang, Li
Author_Institution :
Dept. of Comput. Sci., Southwestern North China Electr. Power Univ., Baoding, China
Abstract :
We used the ant colony pheromones in the intelligent learning. Proposed an intelligence network based on ant colony pheromones and TSP problem. The ant colony pheromones was in hierarchical distribution in the network, Recording of the learning and related information by the residual pheromones, so realized intelligent decision. We use the path choosing in the ant colony algorithm as decision of the network, use the pheromones updating in the ant colony algorithm as the intelligent learning of the intelligent network .Because every cycle in the ant colony algorithm was related with the last, so add the begin point and the end point the last path to the input of the network. At the end of the paper, we used ant colony pheromones and the intelligent network based on ant colony pheromones on SCADA systems, achieved good results.
Keywords :
learning (artificial intelligence); optimisation; travelling salesman problems; SCADA systems; TSP problem; ant colony pheromones; intelligent learning algorithm; intelligent network; travelling salesman problem; Application software; Bayesian methods; Cities and towns; Computer science; Convergence; Decision making; Feedback; Information technology; Intelligent agent; Intelligent networks; Ant Colony Algorithm; Intelligence Learning; Intelligent Network; Pheromones; TSP;
Conference_Titel :
Information Technology and Applications, 2009. IFITA '09. International Forum on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3600-2
DOI :
10.1109/IFITA.2009.158