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Air Lines Reservation By Intelligent Traveling Agent System


Arvind Dewangan, Mukesh Kumar, D.P.Gupta, Manik Goyal


Vol. 9  No. 12  pp. 198-202


In this paper Artificial Neural Network are applied to serve as an Intelligent Traveling Agent. The proposed agent is used in the problem domain of' Air Line Travel'. Subsequently this software has been developed which will categorize the incoming emails in three sections. The software first retrieves. Emails sent by clients belonging to different natures. The software has been trained using Neural Network based learning algorithm using both on - line and off - line methods and characterization curve is proposed to obtained after training the designed Neural Network using MA TLAB software. We have also design an interface for this system using VB language. The proposed system differentiates emails into four categories. These are Reservation, Confirmation, Cancellation and Neutral. The scheme has been tested for 100 users with a success rate of 90% in normal case. The on line learning facilitates the Neural Network to recognize new words. The proposed agent is capable to satisfy its importance.


Artificial Neural Network(ANN), Back Propagation learning, Intelligent Agents, Clerk.