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A neural network and a circuit design method for simulating abnormal working state of a brain

A neural network, working state technology, applied in neural learning methods, biological neural network models, computing, etc.

Inactive Publication Date: 2019-02-19
BEIJING UNIV OF TECH
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  • Summary
  • 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

Method used

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  • A neural network and a circuit design method for simulating abnormal working state of a brain
  • A neural network and a circuit design method for simulating abnormal working state of a brain
  • A neural network and a circuit design method for simulating abnormal working state of a brain

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Embodiment Construction

[0018] The present invention will be further described below in conjunction with the accompanying drawings.

[0019] Such as figure 1 It is a block diagram of a brain-like self-turbulent neural network chip. The overall process is controlled by the process control module, which is connected with the neural network module, the abnormal state control module, and the output data comparison module to control the above parts; the abnormal state control module is connected with the input data influence module and the self-turbulent module and controls the The input data influence module and the self-turbulence module are directly connected with the neural network module and control this part; the output part of the neural network module is connected with the output data comparison module to realize the comparison of data and obtain the result.

[0020] Such as figure 2 It is a connection diagram of the input data influence module, the self-turbulence module and the neural network...

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Abstract

The invention discloses a neural network and a circuit design method for simulating abnormal working state of the brain. After training the neural network with the training set, the neural network gets the standard result, and then predicts the training set again with the neural network under the working state, at the same time, drives the abnormal working state, finally compares the result with the training set, and achieves the purpose of imitating brain. The training set is used to provide samples for the whole training process; Neural network chip is the carrier of the whole neural network. By comparing the results under normal conditions with those under unstable conditions based on digital integrated circuit design, the differences between the two conditions will be obtained, and theroad for future research will be paved.

Description

technical field [0001] The present invention relates to an algorithm and a designer of a neural network chip, and belongs to the field of digital integrated circuit design. More specifically, the present invention relates to a method for simulating a human brain by 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 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 neurons) connected to each other. Each node represents a specific output function called an activation function. Each connection between two nodes repre...

Claims

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Application Information

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IPC IPC(8): G06N3/00G06N3/08G06N3/063
CPCG06N3/004G06N3/063G06N3/08
Inventor 侯立刚吕昂郭嘉江南彭晓宏耿淑琴刘旭
Owner BEIJING UNIV OF TECH
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