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Single-neuron time-delay neural network chaotic circuit

A single neuron, neural network technology, applied in biological neural network models, neural architectures, physical implementations, etc., can solve the problems of difficult in-depth understanding of complex phenomena of chaotic dynamic systems, in-depth understanding has not been completed, etc., and achieve easy theoretical analysis. And the effect of circuit integration, simple structure, great theoretical and applied research value

Pending Publication Date: 2021-07-30
HANGZHOU DIANZI UNIV
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  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

So far, the in-depth understanding of the complex phenomena of general nonlinear dynamic systems is far from being completed, and it is even more difficult to deeply understand the complex phenomena of infinite-dimensional chaotic dynamic systems.

Method used

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  • Single-neuron time-delay neural network chaotic circuit
  • Single-neuron time-delay neural network chaotic circuit
  • Single-neuron time-delay neural network chaotic circuit

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Embodiment Construction

[0014] The present invention proposes a time-delay neural network chaotic circuit of a single neuron, which will be described below in conjunction with the accompanying drawings.

[0015] The schematic diagram of single neuron time-delay chaotic neural network circuit is as follows: figure 1 As shown, the activation function circuit modules HB1 and HB12 are included, the activation function circuit module HB1 contains segmentation modules HB2, HB3, HB4, HB5, HB6; the activation function circuit module HB12 contains segmentation modules HB7, HB8, HB9, HB10 , HB11.

[0016] figure 1 In the shown single neuron time-delay chaotic neural network circuit, the input terminal x is respectively connected to the resistor R11, the input terminal of the activation function circuit module HB1, and the input terminal of the delay device A1; the other section of the resistor R11 is connected to the inverting input of the operational amplifier U2 Terminal, the resistance R12 is connected in...

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Abstract

The invention discloses a single-neuron chaotic circuit based on a time-delay neural network. The neuron circuit consists of an addition and integral operation circuit and an activation function circuit module, wherein the addition and integral operation circuit consists of an operational amplifier, a resistor and a capacitor; the excitation circuit module is composed of a summing circuit and first to fifth segment modules. The segmentation module is composed of an additive operation circuit and a voltage comparison circuit, wherein the additive operation circuit is composed of a relay and an operational amplifier. By giving an initial value and time delay, the chaotic oscillation phenomenon generated between the voltage x (t) and the time delay signal voltage x (t-tau) can be observed through an oscilloscope, and different chaotic phenomena can be observed when different initial values or time delay are set. According to the circuit, complex chaotic oscillation can be generated by a single neuron under fixed time lag, and the circuit is of great significance to application research of a chaotic neural network.

Description

technical field [0001] The invention belongs to the field of nonlinear circuit design, and relates to a new single neuron time-delay neural network chaotic system and its circuit. Background technique [0002] With the rapid development of chaos theory research, people's analysis and exploration of chaotic phenomena is not limited to the discussion of itself, and the combination of chaotic systems and various fields has gradually become the research direction of scholars, such as chaos economics, Chaotic secure communication, chaotic meteorology or chaotic neural network. However, many applications of chaotic systems need to be further developed and perfected. Due to its objective existence, rich physical properties and great application potential, it has become one of the hotspots of current scientific research. [0003] In recent years, due to the introduction of axonal signal transmission delay in the neural network model, a neural network dynamic system with time delay...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/063G06N3/04
CPCG06N3/0418G06N3/049G06N3/065
Inventor 傅博伟王光义周玮董玉姣
Owner HANGZHOU DIANZI UNIV
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