Titlebook: Artificial Intelligence and Soft Computing; 18th International C Leszek Rutkowski,Rafał Scherer,Jacek M. Zurada Conference proceedings 2019

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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

Mangle

On Learning and Convergence of RBF Networks in Regression Estimation and Classificationl risk minimization. Mean square convergence of . error is investigated using the machine learning tools such as VC dimension and covering numbers. RBF network estimates are applied in nonlinear function learning and classification.

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相同

Aufbau und Aufgaben der Gerichtsbarkeit the top of the Givens algorithm. First, the classic variant of the Givens method is briefly described. The main section of the article contains a detailed description of the proposed retry worst samples, skip best samples, and the Givens epoch update optimization techniques. The paper concludes with the simulation results and an overall summary.

苦涩

Aufbau und Aufgaben der Gerichtsbarkeitl risk minimization. Mean square convergence of . error is investigated using the machine learning tools such as VC dimension and covering numbers. RBF network estimates are applied in nonlinear function learning and classification.

引导

伦理学

978-3-030-20911-7Springer Nature Switzerland AG 2019

松驰

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/162307.jpg

冒烟

Das anwaltliche Aufforderungsschreibenraits from images captured automatically. Wheat is one of the three major crops in the world with a total demand expected to exceed 850 million tons by 2050. In this paper we attempt estimation of wheat spikelets from high-definition RGB infield images using a fully convolutional model. We propose a

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