A hybrid CBR classification model by integrating ANN into CBR
by Saroj Kr. Biswas; Barnana Baruah; Nidul Sinha; Biswajit Purkayastha
International Journal of Services Technology and Management (IJSTM), Vol. 21, No. 4/5/6, 2015

Abstract: Case-based reasoning (CBR) is an artificial intelligent approach to problem solving and learning, which understands and extracts knowledge from past cases. However, CBR faces the challenge of assigning weights to the features to measure similarity between cases effectively and correctly. Integration of inherent learning capability of artificial neural networks (ANNs) to help the CBR in attributing the correct and appropriate weights to the features is likely to improve the performance of the standard CBR approach. This paper integrates back propagation neural network (BPNN) into CBR in an innovative way to develop an efficient model for classification tasks. The implementation of integration of NN and CBR for classification tasks is done by building training and testing datasets and optimising NN architecture in terms of number of neurons in hidden layer. This paper investigates the integration of multi-layer BP neural network and CBR. The experimental results obtained with the proposed hybrid model are compared with that of standard CBR, CBR with value difference matrix (VDM) and one existing CBR with BPNN approaches. The superiority of the proposed hybrid CBR model is established to others. The performance of the proposed model is validated with four datasets.

Online publication date: Tue, 29-Dec-2015

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Services Technology and Management (IJSTM):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com