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Application of visual clustering properties of self organizing map in machine-part cell formation
Cellular manufacturing (CM) is an approach that includes both flexibility of job shops and high production rate of flow lines. Although CM provides many benefits in reducing throughput times, setupExpand
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Meta-heuristics in cellular manufacturing: A state-of-the-art review
Article history: Received 1 April 2010 Received in revised form 22 July 2010 Accepted 30 July 2010 Available online 1 Auguest 2010 Meta-heuristic approaches are general algorithmic framework, oftenExpand
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A Soft Computing technique in rainfall forecasting
Abstract: Soft Computing techniques have opened up new avenues to the fore ca sters of omplex sy ms.Atmosphere is a complex system and all the atmospheric parameters carry different degrees ofExpand
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Comparison of visualization of optimal clustering using self-organizing map and growing hierarchical self-organizing map in cellular manufacturing system
The present research deals with the cell formation problem (CFP) of cellular manufacturing system which is a NP-hard problem thus, the development of optimum machine-part cell formation algorithmsExpand
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An Effective Back Propagation Neural Network Architecture for the Development of an Efficient Anomaly Based Intrusion Detection System
The problem of intrusion is gradually becoming nightmare for several organizations. To protect the valuable data of their clients, organizations implement security systems to detect and preventExpand
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Machine–part cell formation through visual decipherable clustering of self-organizing map
Machine–part cell formation is used in cellular manufacturing in order to process large varieties, improve quality, and lower work-in-process levels, reducing manufacturing lead time and customerExpand
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Examining mobile based payment services adoption issues: A new approach using hierarchical clustering and self-organizing maps
Purpose – The purpose of this paper is to make a unified approach in identifying the issues affecting usage intention of mobile-based payment services. The work aims to analyze the reduced factorsExpand
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Elucidating the role of topological pattern discovery and support vector machine in generating predictive models for Indian summer monsoon rainfall
The present paper reports a study, where growing hierarchical self-organising map (GHSOM) has been applied to achieve a visual cluster analysis to the Indian rainfall dataset consisting of 142 yearsExpand
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A Comparison of Self-organising Maps and Principal Components Analysis
This paper attempts to compare self-organising maps (SOM) and principal components analysis (CPA) by applying them to the marketing construct ‘retail store personality’. Data were collected for theExpand
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A visual study of vortex-induced subcritical instability on a flat plate laminar boundary layer
This paper reports results of our experimental investigation on flow instability on a flat plate laminar boundary layer caused by a “captive” vortex migrating far outside the boundary layer. ResultsExpand
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