Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Artificial neural network calculation circuit

A technology of artificial neural network and computing circuit, which is applied in biological neural network models, neural learning methods, image memory management, etc., can solve the problems of complex connection structure of artificial neural network and high power consumption of the system, so as to improve computing speed and simplify connection structure, solve the effect of complex connection structure

Inactive Publication Date: 2018-03-30
GREE ELECTRIC APPLIANCES INC OF ZHUHAI
View PDF4 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present invention provides an artificial neural network operation circuit to at least solve the technical problem of high system power consumption due to the complex connection structure of the artificial neural network

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Artificial neural network calculation circuit
  • Artificial neural network calculation circuit
  • Artificial neural network calculation circuit

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0025] It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an artificial neural network calculation circuit. The artificial neural network calculation circuit comprises a controller used for generating learning parameters and adjustinga connection relationship among multiple neuron units according to the learning parameters, a memory connected with the controller and used for storing input data, the learning parameters and the connection relationship, and the neuron units connected with the controller and the memory and used for performing neuron calculation on the input data according to the learning parameters based on the connection relationship and outputting a calculation result. The technical problem of relatively high system power consumption caused by complex connection structure of an artificial neural network issolved.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an artificial neural network operation circuit. Background technique [0002] Artificial Neural Network (Artificial Neural Network) is a research hotspot that has emerged in the field of artificial intelligence since the 1980s. It abstracts the brain neuron unit network from the perspective of biological information processing, and forms different networks according to different connection methods. The unique nonlinear adaptive information processing ability of artificial neural network overcomes the shortcomings of traditional artificial intelligence methods for intuition, such as patterns, speech recognition, and unstructured information processing, making it useful in pattern recognition, intelligent control, optimal combination, It has been successfully applied in forecasting and other fields. [0003] The hierarchical structure of the artificial neural network is complex, an...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06N3/063G06N3/08G06T1/60
CPCG06N3/063G06N3/082G06T1/60
Inventor 陈恒方励易冬柏殷桂华张艳可
Owner GREE ELECTRIC APPLIANCES INC OF ZHUHAI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products