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University: University of Edinburgh
Sector(s): Information & Communications Technologies, Aerospace, Aviation & Transport, Chemical, Construction & Built Environment, Creative Industries, Electronics, Sensors & Photonics, Energy & Renewables, Engineering & Manufacturing, Environment & Sustainability, Financial Services, Food & Drink, Healthcare & Pharmaceuticals, Life Sciences, Materials, Nanotechnology, Textiles, Tourism
About Opportunity:
This Case-Based Reasoning (CBR) Shell is an effective software tool for guiding diagnosis and fault finding in present instances by identifying patterns and knowledge implicit in historic information databases.
CBR is based on the intuition that information gained from previous experiences (cases or instances) can be an important tool to provide solutions for, and enhance processes related to, the problem at hand, therefore helping improve outcomes and save valuable resource. However, large volumes of information can make it a complex task to gain useful insight from historic datasets. Common instances include helpdesk situations and diagnosis systems. CBR is an effective tool to gain useful information in such circumstances and is one of the most successfully applied Artificial Intelligence technologies of recent years.
The University of Edinburgh JAVA implemented CBR Shell has been developed and refined over time to provide an effective software tool. This includes an advanced performance optimization module, based on a genetic algorithm, which enhances accuracy and quality of results.
The CBR Shell can be utilised with common operating systems such as Microsoft Windows XP and Windows 7, and includes the following features:
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This CBR software can be downloaded or used via a web interface following acceptance of the terms and conditions.
It would help speed up access to this technology if you confirm acceptance of the published terms and conditions in the enquiry form below.
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