Titlebook: Data Mining for Design and Manufacturing; Methods and Applicat Dan Braha Book 2001 Springer Science+Business Media Dordrecht 2001 DES.class

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John Buckmaster,Thomas L. Jackson,Ajay Kumard before assembly. Frequently, these part components are subject to stringent acceptance tests in order to confirm their conformance to the required specifications. Such acceptance tests are normally monotonous and tedious. At times, they may be costly to carry out and may affect the cycle time of p

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https://doi.org/10.1007/978-94-011-1050-1fectiveness is shown in terms of the representative-ness of sampling data and both the accuracy and errors of sampled data sets when subjected to the fuzzy clustering algorithm. Two population data in the weld inspection domain were used for the evaluation. Based on the results obtained, a number of

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https://doi.org/10.1007/978-3-662-06297-5ployment in industrial monitoring technology. Other advantageous features are the availability of several hardware technologies that allow early transformation of a variety of monitored quantities into colour information, the compression of data at an early stage, and the familiarity of colour as a

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https://doi.org/10.1007/978-3-662-06297-5rder to put the ball in the opposing goal and at the same time defend their own goal. This paper is concerned with the problem of learning two basic reactive behaviors of robotic agents playing soccer, namely: (i) learning to intercept the moving ball while avoiding collisions with other players and

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Data Mining for Design and Manufacturing978-1-4757-4911-3Series ISSN 1569-2698 Series E-ISSN 2468-8738