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Neural network based solution for choice of best webservices


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  • Product Description

ART1 (adaptive resonance network) based neural network has been used for the purpose of discovering Web services of interest based on service classification. Non-functional properties of Web services can significantly improve the probability of having relevant output results. To achieve this task, we used the publicly available QWS Dataset as inputs for the neural network. The feature set is mainly dependent on several factors such as response time, throughput, availability, compliance, among others. Results show that there exists a relationship between possible non-functional properties in spit of non-uniform metrics. The use of neural networks provides a way to optimize the selection of the best available Web service. The average performance rate of the neural network is 92%. In all of the three trials conducted for testing this system, the neural network always converged into a solution which suggests that the use of neural networks in discovering the most suitable Web service can certainly be used. The proposed solution provides an effective discovery mechanism for finding the high quality Web services based on non-functional properties; however, there is room for improvement.

Product Specifications
SKU :COC17536
AuthorShweta Roy
Number of Pages128
Publishing Year9/25/2012
Edition1 st
Book TypeComputing & information technology
Country of ManufactureIndia
Product BrandLAP LAMBERT Academic Publishing
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-07-26 00:00:00
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