Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Rohit Ronge"'
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319304809
ARC
ARC
Performance of classification using Feed-Forward Backpropagation Neural Network FFBPNN on a reconfigurable hardware architecture is evaluated in this paper. The hardware architecture used for implementation of FFBPNN in this paper is a set of interco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0c79ae7f6c4799ee22a0949f56d7820
https://doi.org/10.1007/978-3-319-30481-6_25
https://doi.org/10.1007/978-3-319-30481-6_25
Publikováno v:
SoCC
A scalable and reconfigurable architecture for accelerating classification using Radial Basis Function Neural Network (RBFNN) is presented in this paper. The proposed accelerator comprises a set of interconnected HyperCells, which serve as the reconf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61e7106dc9be76ca6af8698f0e91f974
https://doi.org/10.1109/socc.2015.7406928
https://doi.org/10.1109/socc.2015.7406928
Autor:
Rohit Ronge, S. K. Nandy, Tanmay Verma, Ranjani Narayan, Mahnaz Mohammadi, Nitin Satpute, Aamir Raihan, Jayesh Ramesh Chandiramani, Sukumar Bhattacharya
Publikováno v:
VLSI Design
Radial Basis Function Neural Networks (RBFNN) are used in variety of applications such as pattern recognition, control and time series prediction and nonlinear identification. RBFNN with Gaussian Function as the basis function is considered for class
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c279bc9e7d13e700d768fd855057d59
https://doi.org/10.1109/vlsid.2015.91
https://doi.org/10.1109/vlsid.2015.91