Titlebook: Artificial Intelligence and Soft Computing; 12th International C Leszek Rutkowski,Marcin Korytkowski,Jacek M. Zurad Conference proceedings

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書目名稱Artificial Intelligence and Soft Computing影響因子(影響力)




書目名稱Artificial Intelligence and Soft Computing影響因子(影響力)學(xué)科排名




書目名稱Artificial Intelligence and Soft Computing網(wǎng)絡(luò)公開度




書目名稱Artificial Intelligence and Soft Computing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Artificial Intelligence and Soft Computing被引頻次




書目名稱Artificial Intelligence and Soft Computing被引頻次學(xué)科排名




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書目名稱Artificial Intelligence and Soft Computing年度引用學(xué)科排名




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書目名稱Artificial Intelligence and Soft Computing讀者反饋學(xué)科排名

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Identifying Uncertain Galaxy Morphologies Using Unsupervised Learning overall accuracies of such data clustering processes. Through this heuristic approach, it is observed that the accuracy of classes-to-clusters evaluation, by selecting the best combination of attributes via information gain, is further improved by approximately 10-15%. An accuracy of 82.627% was al

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Das selbstst?ndige Beweisverfahren overall accuracies of such data clustering processes. Through this heuristic approach, it is observed that the accuracy of classes-to-clusters evaluation, by selecting the best combination of attributes via information gain, is further improved by approximately 10-15%. An accuracy of 82.627% was al

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Hybrid Genetic-Fuzzy Algorithm for Variable Selection in Spectroscopyders three fitness functions related to linear equations system stability. These fitness functions are models with fuzzy sets that evaluate the fitness solution for pick out the best to crossover. The population diversity is obtained applying the crowding distance method. The study shows that the se

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