Titlebook: Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge ; 12th International C Stanis?aw Koziel

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Julie A. Worley,Johnny L. Matsonf scientific data. We then shortly present our contributions to this field in the form of original methods for the automatic classification of documents and easy interpretation of their content through characteristic keywords and classes created by our algorithms. In a second step, we focus our anal

abysmal

非實(shí)體

Single-Case Experimental Designswhen rules are not organized into any structure, the system is inefficient. In the author’s opinion, modification of both the knowledge base structure and inference algorithms lead to improve the efficiency of the inference process. Rules partition enables reducing significantly the percentage of th

間諜活動(dòng)

Custodian

同時(shí)發(fā)生

Single-Case Experimental Designsid memetic approach where local (gradient descent) and global (differential evolution) approach are combined to tune parameters of a neuro-fuzzy system. Application of the memetic approach results in lower error rates than either gradient descent optimisation or differential evolution alone. The res

FLAGR

Single-Case Experimental Designs data the firing strength of the rules cannot be calculated. Some neuro-fuzzy systems impute the missing firing strength. This approach has been successfully applied. Unfortunately in some cases the imputed firing strength values are very low for all rules and data items are poorly recognized by the

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COUCH

Anthony M. Graziano,James N. Katze protection of national heritage, so important nowadays, requires a multicriteria assessment. Seeing that different factors in varying degrees affect the comprehensive assessment of the object, it becomes necessary to use computational intelligence methods. This paper presents a rough sets approach