论文信息 - Pulse-density modulation technique in VLSI implementations of neural network algorithms

Pulse-density modulation technique in VLSI implementations of neural network algorithms

New implementations of fully connected neural network architecture are explored, and some efficient implementations based on the pulse-density modulation technique are presented. These VLSI circuits are fully programmable, thereby usable in many applications. The architecture is implemented by using two different approaches: analog implementation with switched-capacitor structures and fully digital implementation. The approaches are also compared from the VLSI point of view. The advantage of the switched-capacitor implementation is the small area of a synapse, thus relatively large networks can be implemented. The architecture of the network is also regular, modular, and easy to expand. For the same complexity of network architecture, the digital implementation requires 30% more silicon area, which can be considered quite insignificant. The advantage of the fully digital implementation is good expandability to larger networks. In addition, single circuits can be joined together to form very large networks. >

Kimmo Kaski | J. Tomberg

[1] Dimitris Anastassiou,et al. Switched-capacitor neural networks , 1987 .

[2] Lawrence D. Jackel,et al. VLSI implementation of a neural network model , 1988, Computer.

[3] R. S. Withers,et al. An artificial neural network integrated circuit based on MNOS/CCD principles , 1987 .

[4] R. Hecht-Nielsen,et al. Neurocomputing: picking the human brain , 1988, IEEE Spectrum.

[5] L.D. Jackel,et al. Analog electronic neural network circuits , 1989, IEEE Circuits and Devices Magazine.

[6] Richard P. Lippmann,et al. An introduction to computing with neural nets , 1987 .

[7] Hannu Tenhunen,et al. VLSI implementation of pulse density modulated neural network structure , 1989, IEEE International Symposium on Circuits and Systems,.

[8] Alan F. Murray,et al. Asynchronous VLSI neural networks using pulse-stream arithmetic , 1988 .

[9] Hannu Tenhunen,et al. Fully digital neural network implementation based on pulse density modulation , 1989, 1989 Proceedings of the IEEE Custom Integrated Circuits Conference.

[10] Philip D. Wasserman,et al. Neural computing - theory and practice , 1989 .

[11] Y. Hirai,et al. A digital neuro-chip with unlimited connectability for large scale neural networks , 1989, International 1989 Joint Conference on Neural Networks.

[12] Lawrence D. Jackel,et al. VLSI implementation of a neural network memory with several hundreds of neurons , 1987 .