Ant-Colony Optimization Method for Knowledge Discovery in Processing Technology
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    Abstract:

    Processing technology is much more complex, usually large in size,and continuously changes. Aiming
    to solve a series of key technologies during the matching and reasoning of discovery,a clustering algorithm that imitates the ecosystem taking into account the features of processing technology data was presented. A method of processing knowledge discovery is implemented by using of an Ant-Colony clustering algorithm and probable query,baseed on the method,the mathematical model of processing knowledge is establised. By inputing process data,Ant-Colony algorithm can be operated,the index map can be described,the process procedure can be drawn. Finally,an instance is verified based on the process information table of the milling. The result proves that the knowledge discovery based on the Ant-Colony clustering algorithm model optimizes the process sequence comprehensively and efficiently.

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  • Received:
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  • Online: November 28,2016
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