Construction and Comparison of Gene Regulatory Networks of Human Hiv-1 VPR Microarray Datasets by Radial Basis Neural Network Approach

2016 ◽  
Vol 15 (0) ◽  
pp. 61
Author(s):  
Bandana Barman
Talanta ◽  
2008 ◽  
Vol 74 (4) ◽  
pp. 871-878 ◽  
Author(s):  
Edwin A. Hernández-Caraballo ◽  
Rita M. Ávila de Hernández ◽  
Francklin Rivas-Echeverría ◽  
Tarcisio Capote-Luna

2019 ◽  
Vol 7 (2) ◽  
pp. 103-110 ◽  
Author(s):  
Deepika Garg ◽  
Naresh Sharma

The appliance of radial basis neural network is demostrated in this paper. The method applies failure and repair rate signals to learn the hidden relationship presented into the input pattern. Statistics of availability of several years is considered and collected from the management of concern plant. This data is considered to train and calidate the radial basis neural network (RBNN). Subsequently validated RBNN is used to estimate the availability of concern plant. The main objective of using neural network approach is that it’s not require assumption, nor explicit coding of the problem and also not require the complete knowledge of interdependencies, only requirement is raw data of system functioning.


2017 ◽  
Vol 10 (1) ◽  
Author(s):  
Mina Moradi Kordmahalleh ◽  
Mohammad Gorji Sefidmazgi ◽  
Scott H. Harrison ◽  
Abdollah Homaifar

2008 ◽  
Vol 40 (11-12) ◽  
pp. 891-905 ◽  
Author(s):  
M. F. O. Hameed ◽  
S. S. A. Obayya ◽  
K. Al-Begain ◽  
A. M. Nasr ◽  
M. I. Abo el Maaty

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