NEURAL NETWORKS IN ANALOG HARDWARE — DESIGN AND IMPLEMENTATION ISSUES-Reference-Cited by-同舟云学术

NEURAL NETWORKS IN ANALOG HARDWARE — DESIGN AND IMPLEMENTATION ISSUES

Published:2000-02 Issue:01 Volume:10 Page:19-42
ISSN:0129-0657
Container-title:International Journal of Neural Systems
language:en
Short-container-title:Int. J. Neur. Syst.

Author:

DRAGHICI SORIN¹

Affiliation:

1. 5143 Cass Avenue, Room 431 State Hall, Department of Computer Science, Wayne State University, Detroit, MI, 48202, USA

Abstract

This paper presents a brief review of some analog hardware implementations of neural networks. Several criteria for the classification of general neural networks implementations are discussed and a taxonomy induced by these criteria is presented. The paper also discusses some characteristics of analog implementations as well as some trade-offs and issues identified in the work reviewed. Parameters such as precision, chip area, power consumption, speed and noise susceptibility are discussed in the context of neural implementations. A unified review of various "VLSI friendly" algorithms is also presented. The paper concludes with some conclusions drawn from the analysis of the implementations presented.

Publisher

World Scientific Pub Co Pte Lt

Subject

Computer Networks and Communications,General Medicine

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0129065700000041

Reference115 articles.

1. Guide to pattern recognition using random-access memories

2. WISARD·a radical step forward in image recognition

3. Worst case analysis of weight inaccuracy effects in multilayer perceptrons

4. A 336-neuron, 28 K-synapse, self-learning neural network chip with branch-neuron-unit architecture

5. A refreshable analog VLSI neural network chip with 400 neurons and 40 K synapses

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Nano-Magnetic Logic based Architecture for Edge Inference using Tsetlin Machine;2023 21st IEEE Interregional NEWCAS Conference (NEWCAS);2023-06-26

2. Asynchronous Control for Tsetlin Machine with Binary Memristor-Transistor Array;2023 IEEE International Symposium on Circuits and Systems (ISCAS);2023-05-21

3. Reviving the Dynamics of Attacked Reservoir Computers;Entropy;2023-03-16

4. Perovskite-based emerging memories;Perovskite Ceramics;2023

5. A Novel Memristive Neural Network Circuit and Its Application in Character Recognition;Micromachines;2022-11-25