A centralized random hopping neural network circuit structure and a design method thereof

A technology of neural network and circuit structure, applied in the direction of neural learning method, biological neural network model, physical realization, etc., to achieve the effect of automatic processing

Inactive Publication Date: 2019-04-02
BEIJING UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Today's neural networks perform the assigned tasks in a stable state, but the real brain does not always produce results in a stable state, often the unstable state brought by the outside world will lead to the generation of new inspiration

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  • A centralized random hopping neural network circuit structure and a design method thereof
  • A centralized random hopping neural network circuit structure and a design method thereof

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Embodiment Construction

[0014] The present invention will be further described below in conjunction with the accompanying drawings.

[0015] like figure 1 A block diagram of a centralized stochastic hopping neural network. The overall process is controlled by the process control module, which is connected with the neural network module and the random number generator control module and controls the above parts; the random number generator module is connected with the neural network module and controls the part.

[0016] like figure 2 It is a connection diagram of the random number generator module and the neural network module. Wherein, two independent random number generators in the random number generator module are respectively directly connected with the network weight part and the network node address part of the neural network module. figure 2 x in 1 , x 2 is the input of the neural network; w ij (i represents the input, j represents the hidden layer function) is the weight, b 1 ,b 2 ...

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Abstract

The invention discloses a centralized random hopping neural network circuit structure and a design method thereof. The circuit structure comprises a neural network module, a random number generation module and the process control module. Whether to start a random hopping process or not is decided according to the output of the process control module, and when the random hopping process is started,the operation of the random number generation module is controlled at the same time, namely two sub-modules of the random number generation module are controlled, and the two random number generatorsare controlled to output two groups of random numbers; the neural network module is used for realizing a neural network and processing the training set; the random number generation module comprisestwo independent random number generators and is used for generating two groups of random number groups and realizing weight change at a random node of the neural network; and the process control module is used for controlling the change of the working mode of the whole circuit structure. Centralized processing is adopted, the weight and the node address of the neural network are more convenientlychanged, and automatic processing is achieved.

Description

technical field [0001] The invention relates to an algorithm and a design method of a neural network chip, and belongs to the field of digital integrated circuit design. More specifically, the invention relates to a method for applying a neural network algorithm more deeply. Background technique [0002] Artificial Neural Network (ANN) is a research hotspot in the field of artificial intelligence since the 1980s. It is an extensive parallel interconnected network composed of adaptable simple units. His organization can simulate biological nerves. The system's interaction with real-world objects. It abstracts the human brain neuron network from the perspective of information processing, establishes a simple model, and forms different networks according to different connection methods. In engineering and academia, it is often referred to directly as a neural network or a neural network. A neural network is an operational model consisting of a large number of nodes (or neuron...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/063G06N3/08
CPCG06N3/063G06N3/08
Inventor 侯立刚汪子锋闫帅旗彭晓宏耿淑琴
Owner BEIJING UNIV OF TECH
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