Title :
A Scalable and Programmable Architecture for the Continuous Restricted Boltzmann Machine in VLSI
Author :
Lu, C.C. ; Hong, C.Y. ; Chen, H.
Author_Institution :
Dept. of Electr. Eng., National Tsing-Hua Univ., Hsin-Chu
Abstract :
The continuous restricted Boltzmann machine (CRBM) has been attractive as a probabilistic model both useful in biomedical applications and hardware-amenable. To implement a large-scale CRBM system for real applications, the performance of the CRBM under hardware constraints must be investigated. This paper examines the effects of parameter precision on the performance of the CRBM, identifies the required precision for modelling real biomedical data, and finally proposes a scalable and programmable architecture based on which a CRBM-embedded intelligent system can be formed
Keywords :
Boltzmann machines; VLSI; embedded systems; medical computing; CRBM-embedded intelligent system; VLSI; biomedical applications; continuous restricted Boltzmann machine; hardware constraints; hardware-amenable; parameter precision; programmable architecture; real biomedical data; scalable architecture; Bioinformatics; Hardware; Intelligent systems; Large-scale systems; Neurons; Quantization; Stochastic processes; Stochastic systems; Training data; Very large scale integration;
Conference_Titel :
Circuits and Systems, 2007. ISCAS 2007. IEEE International Symposium on
Conference_Location :
New Orleans, LA
Print_ISBN :
1-4244-0920-9
Electronic_ISBN :
1-4244-0921-7
DOI :
10.1109/ISCAS.2007.378409
