DocumentCode
2438724
Title
Metrics for measurement of additive noise to weight in sigmoidal FFANNs
Author
Singh, Amit Prakash ; Rai, C.S. ; Chandra, Pravin
Author_Institution
Univ. Sch. of Inf. Technol., GGS Indraprastha Univ., Delhi, India
fYear
2010
fDate
7-10 Dec. 2010
Firstpage
2197
Lastpage
2201
Abstract
Feedforward artificial neural networks are susceptible to thermal noise when implemented as analog or digital hardware. Thus to study of the effect of noise on neural hardware, noise metrics have to be identified. In this paper, five new metrics are prepared and shown to be relevant for noise modeling in the neural hardware.
Keywords
feedforward neural nets; integrated circuit noise; neural chips; noise measurement; additive noise measurement; analog hardware; digital hardware; feedforward artificial neural network; neural hardware; noise effect; noise metrics; noise modeling; sigmoidal FFANN; thermal noise; Artificial neural networks; Fault tolerance; Fault tolerant systems; Hardware; Measurement; Noise; Training; Fault Metric; Feedforward Neural Network; Weight Noise; fault tolerance;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Automation Robotics & Vision (ICARCV), 2010 11th International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-7814-9
Type
conf
DOI
10.1109/ICARCV.2010.5707883
Filename
5707883
Link To Document