Implementation of Exotic Bird Expert Advisory System using Back Propagation Algorithm with Calming Rate

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K.Srinivasa Rao
Prof. M.Surendra Prasad Babu


This paper deals with the design and implementation of an online ‘Web Based Exotic Birds Expert Advisory Systems Using Back
Propagation Algorithm with Calming Rate’. This exotic bird expert advisory system is aimed at identifying the diseases in exotic birds and
advises the pet lovers about the proper curing mechanism through online. By using the back propagation algorithm without calming rate about
3000 to 4000 iterations may be required for finding a disease in an expert system at each time. To overcome this large number of iteration
problems, a concept of a calming rate is introduced into the algorithm. With this the numbers of iterations were reduced to nearly 100 to 500
iterations for each time to find the proper matching in the database. This advisory system is designed by using JSP as front end and MYSQL
as backend.



Key words: Expert Systems, Neural Networks, Back Propagation Algorithm, Calming Rate, Exotic Birds, JSP & MYSQL.


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