Titlebook: Methodologies for Intelligent Systems; 8th International Sy Zbigniew W. Ra?,Maria Zemankova Conference proceedings 1994 Springer-Verlag Ber

GLAZE

書目名稱Methodologies for Intelligent Systems影響因子(影響力)




書目名稱Methodologies for Intelligent Systems影響因子(影響力)學(xué)科排名




書目名稱Methodologies for Intelligent Systems網(wǎng)絡(luò)公開度




書目名稱Methodologies for Intelligent Systems網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Methodologies for Intelligent Systems被引頻次




書目名稱Methodologies for Intelligent Systems被引頻次學(xué)科排名




書目名稱Methodologies for Intelligent Systems年度引用




書目名稱Methodologies for Intelligent Systems年度引用學(xué)科排名




書目名稱Methodologies for Intelligent Systems讀者反饋




書目名稱Methodologies for Intelligent Systems讀者反饋學(xué)科排名

antiandrogen

PANEL

Conference proceedings 1994S ‘94), held in Charlotte, North Carolina, USA in October 1994..Besides four invited contributions by renowned researchers on key topics, there are 56 full papers carefully selected from more than 120 submissions. The book presents the state of the art for methodologies for intelligent systems; the

Electrolysis

Distributed Earth science validation centers for Mission to Planet Earth, centers throughout the world, this paper describes a highly distributed architecture for the management, processing, and quality assurance of data that complements current high-volume, reliable NASA archives.

implore

玉米

Formal models of selection in genetic algorithms,tion gap equal to or less than one, is investigated in order to assess their ability to let different species emerge and coexist; finally, the average asymptotic behaviour of the population is determined. Experimental results confirm both bevahiours previously reported in the literature and the prediction of the new model.

增長

handle

Knowledge discovery in databases: A rule-based attribute-oriented approach,hy to a rule-based concept hierarchy, which enhances greatly its representation power. An efficient rule-based attribute-oriented induction algorithm is developed to facilitate learning with a rule-based concept graph. An information loss problem which is special to rule-based induction is described together with a solution suggested.

腐爛

cavity

Logic systems for approximate reasoning: via rough sets and topology,nd modalic considerations seems indicate that the proposed approach must have captured some intrinsic meaning of the approximate reasoning. Neighborhood Systems are very general approximation, so Near Logic can be regarded as a small step toward the formalization what Hao Wang called ”approximate proof” three decades ago.