A review of artificial neural network learning rule based on multiple variant of conjugate gradient approaches
The evolution of Artificial Neural Network (ANN) begins in1940s when McCulloch and Pitts published research articles in 1943 discussing about the idea of neural network in general. Basically, the concept of ANN has been inspired by biological human brain model. Then, this concept is transformed into...
出版年: | Journal of Physics: Conference Series |
---|---|
第一著者: | 2-s2.0-85087942491 |
フォーマット: | Conference paper |
言語: | English |
出版事項: |
Institute of Physics Publishing
2020
|
オンライン・アクセス: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087942491&doi=10.1088%2f1742-6596%2f1529%2f2%2f022040&partnerID=40&md5=c20f7c43c1accc35949c35a173fe517f |
類似資料
-
A modifications of conjugate gradient method for unconstrained optimization problems
著者:: 2-s2.0-85045397706
出版事項: (2018) -
Bibliometric Analysis of Conjugate Gradient Method and Image Processing Using Scopus Database
著者:: 2-s2.0-85170045094
出版事項: (2023) -
A new three-term conjugate gradient method with application to regression analysis
著者:: 2-s2.0-85135164489
出版事項: (2022) -
A new sufficient descent conjugate gradient method with exact line search
著者:: 2-s2.0-85076753588
出版事項: (2019) -
Missing River Discharge Data Imputation Approach using Artificial Neural Network
著者:: 2-s2.0-85101170010
出版事項: (2015)