Analog perceptron circuit with DAC-based multiplier
| Autor: | Shigetoshi Nakatake, Yoritaka Ishiguchi, Daishi Isogai, Takuma Osawa |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Artificial neural network
Computer science 020208 electrical & electronic engineering 02 engineering and technology Perceptron law.invention Periodic function Computer Science::Hardware Architecture Analog signal Hardware and Architecture law Hardware_INTEGRATEDCIRCUITS 0202 electrical engineering electronic engineering information engineering Electronic engineering 020201 artificial intelligence & image processing Multiplier (economics) Electrical and Electronic Engineering Resistor Fourier series Software |
| Zdroj: | Integration. 63:240-247 |
| ISSN: | 0167-9260 |
| DOI: | 10.1016/j.vlsi.2018.05.010 |
| Popis: | This paper presents a perceptron circuit which can be implemented into a sensor analog front-end consistent with neural network-based machine learning. We introduce a DAC-based multiplier in the perceptron circuit, where the DAC is used as a programmable resistor. Compared with a traditional transconductor-based multiplier, the precision of our multiplier is formulated only by the digital codes, and it has a wide input range and a good temperature dependency. The simulation result demonstrates the DAC-based multiplier amplifies smoothly analog signal by the digital codes. Furthermore, we extend our perceptron model so as to deal with time series inputs and show a promising result by simulation. As one of an important future works, focusing on periodic signal inputs, we discuss a general architecture of perceptron circuit inspired by Fourier series. |
| Databáze: | OpenAIRE |
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