Titlebook: Intelligent Information Processing IX; 10th IFIP TC 12 Inte Zhongzhi Shi,Eunika Mercier-Laurent,Jiuyong Li Conference proceedings 2018 IFIP

射手座

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神圣不可

外科醫(yī)生

Improved Ensemble Extreme Learning Machine Regression Algorithmeralization performance and robustness of the algorithm are better than that of the sub-model. The results of regression experiments on multiple data sets show that the ECV_ELM algorithm can effectively reduce the influence of the ill conditioned matrix, the random input weight and bias, and has goo

Cubicle

哀求

Forward Learning Convolutional Neural Network network back propagation is unnecessary, BP learning becomes more efficiently and least square method can be applied to speed learning. Our novel approach gives out a new focus on training methods of convolutional neural network.

engagement

使腐爛

Hay-Fever

A Byproduct of a Differentiable Neural Network—Data Weighting from an Implicit Form to an Explicit Fe method is more accurate than art-of-state methods. Furthermore, the method can be used in more fields, where the differentiable neural network can be used. The types of data can be discrete, continuous, or labeled, and the number of output data items is unlimited.

strdulate

Hongjie Jia,Liangjun Wang,Heping Song,Qirong Mao,Shifei Dingie Konzeption und Umsetzung von angemessenen Auswertungsprogrammen waren durch das Projektteam nicht zu leisten. Nur die umfassende und qualifizierte Unterstützung durch unseren Softwareberater, Herrn Walter Kohl (WJK-Software, Frankfurt), erm?glichte die Umsetzung dieses DV-Konzepts im Rahmen des P