A Jacobian Matrix-Based Learning Machine and Its Applications in Medical Diagnosis

A Jacobian Matrix-Based Learning Machine and Its Applications in Medical Diagnosis

Owing to many appealing properties, neural networks provide a natural basis for solving different kinds of problems. The performance of neural networks greatly depends on whether they can provide appealing solutions to the problems of the parameter learning (i.e., the connecting weights in each laye...

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Bibliographic Details
Main Authors: Mu-Chun Su, Yi-Zeng Hsieh, Chen-Hsu Wang, Pa-Chun Wang
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Neural networks
learning algorithm
Jacobian matrix
pattern recognition
Classifier
Online Access:https://ieeexplore.ieee.org/document/7872463/

Internet

https://ieeexplore.ieee.org/document/7872463/

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