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

游行

Derivation of Decision Rules for the Evaluation of Product Performance Using Genetic Algorithms and d 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

态度暖昧

An Evaluation of Sampling Methods for Data Mining with Fuzzy C-Meansfectiveness 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

消息灵通

Colour Space Mining For Industrial Monitoringployment 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

GULF

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Fuzzy-Neural-Genetic Layered Multi-Agent Reactive Control of Robotic Soccerrder 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

广口瓶

Method-Specific Knowledge Compilationumulate huge volumes of knowledge and how to support heterogeneous knowledge and processing. One approach to the first issue is to reuse legacy knowledge systems, integrate knowledge systems with legacy databases, and enable sharing of the databases by multiple knowledge systems. We present an archi

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https://doi.org/10.1007/978-3-662-49467-7Cluster Analysis) can be used to automate the generation of classification schemes. These classification schemes should then be used as input data for the software system for automatic classification of products. The entire process from preparation of the classification schemes up to the classification activity can be automated this way.

ZEST

Charging of Internal Combustion Enginesling chip locations and their size are chosen rationally by data mining, that sampling can provide a good sensitivity of 100% wafer coverage and defect detection for high quality and quick response manufacturing in spite of smaller sampling size.