Titlebook: Artificial Intelligence and Soft Computing; 21st International C Leszek Rutkowski,Rafał Scherer,Jacek M. Zurada Conference proceedings 2023

aspirant

书目名称Artificial Intelligence and Soft Computing影响因子(影响力)




书目名称Artificial Intelligence and Soft Computing影响因子(影响力)学科排名




书目名称Artificial Intelligence and Soft Computing网络公开度




书目名称Artificial Intelligence and Soft Computing网络公开度学科排名




书目名称Artificial Intelligence and Soft Computing被引频次




书目名称Artificial Intelligence and Soft Computing被引频次学科排名




书目名称Artificial Intelligence and Soft Computing年度引用




书目名称Artificial Intelligence and Soft Computing年度引用学科排名




书目名称Artificial Intelligence and Soft Computing读者反馈




书目名称Artificial Intelligence and Soft Computing读者反馈学科排名

Tidious

Memorial

CLAMP

Integrate

Tdd526

Type-2 Fuzzy Classifier with Smooth Type-Reductionome to obtain a feedforward type-2 fuzzy network structure. Moreover, the KM algorithm and its modifications complicate the learning process due to the non-differentiability of the maximum and minimum functions. Therefore, this paper proposes to use the smooth maximum function to develop a new structure of the fuzzy type-2 classifier.

ATP861

ablate

K.-H. Hanne,U. Schmidt,K.-P. Fähnrichof the contrastive divergence pre-training is analyzed on the accuracy of the trained networks. The results are promising for decision support in the production process to minimize the influence of subjectivity by human evaluators.

蕨类

mastoid-bone

,Bau und Einrichtung von Krüppelheimen,ke. In the following work, an analysis of the detection of DDoS Backscatter with the use of neural networks is performed. To this end, a novel dataset is collected and described, on which a hyperband-optimized neural network is trained, and the decision process of the classifier is explained using LIME and SHAP.