Three-dimensional Hopfield neural network model implementation circuit controlled by using a neural activation gradient Lambda
A neural network model and neural network technology, applied in the field of circuit realization of three-dimensional Hopfield neural network model
Active Publication Date: 2019-08-06
CHANGZHOU UNIV
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The hyperbolic function is a nonlinear function, which can be used as the activation function of neurons to simulate the electrical activity behavior of neurons. By changing the activation gradient λ, the slope of the hyperbolic function, that is, the response speed of neuron electrical activity, can be used to activate neurons. Gradient λ realizes the control of Hopfield neural network but has never been studied
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[0031] The present invention will be described in detail in conjunction with accompanying drawing now. This figure is a simplified schematic diagram only illustrating the basic structure of the present invention in a schematic manner, so it only shows the components relevant to the present invention.
[0032] Such as figure 1 and figure 2 , the circuit includes: based on the hyperbolic function tanh (λx) of the activation gradient λ to realize the circuit figure 2 and three Dimensional Hopfield Neural Network Realization Circuit figure 1 ;Will figure 2 The hyperbolic function circuit tanh(λx) implementation circuit is introduced into the three-dimensional Hopfield neural network implementation circuit to form a novel Hopfield neural network verification circuit controlled by neural activation gradient λ, such as figure 1 and figure 2 After the same ports are connected in sequence, the non-inverting input terminals of the operational amplifier are all connected to "g...
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The invention provides a three-dimensional Hopfield neural network model implementation circuit controlled by using a neural activation gradient Lambda. The three-dimensional Hopfield neural network model implementation circuit comprises a negative output hyperbolic tangent function implementation circuit based on the activation gradient and a three-dimensional Hopfield neural network main circuit. According to the three-dimensional Hopfield neural network model implementation circuit controlled by a neural activation gradient, based on a conventional three-dimensional Hopfield neural network,a nerve activation gradient is introduced into the hyperbolic tangent function to serve as a control quantity of the model; an activation function tanh (Lambda x) based on the nerve activation gradient is formed; an activation function serves as a module of the neural network, dynamic control over the three-dimensional Hopfield neural network can be achieved through the neural activation gradientLambda, the control method is simple and easy to operate, the response state of the human brain is well simulated, and the control method is well applied to development and research of a neural morphology circuit, electronic neurons and artificial intelligence.
Description
technical field [0001] The invention relates to the technical field of neural network control, in particular to a circuit for realizing a three-dimensional Hopfield neural network model controlled by neural activation gradient λ. Background technique [0002] The Hopfield neural network (HNN) composed of neurons is an extremely important model in artificial neural networks. Controlling the dynamics of HNNs by changing the synaptic weights between different neurons has been extensively reported in the past few years. The hyperbolic function is a nonlinear function, which can be used as the activation function of neurons to simulate the electrical activity behavior of neurons. By changing the activation gradient λ, the slope of the hyperbolic function, that is, the response speed of neuron electrical activity, can be used to activate neurons. Gradient λ realizes the control of Hopfield neural network but has never been studied. Therefore, it is necessary and meaningful to fu...
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Login to View More IPC IPC(8): G06N3/063G06N3/04
CPCG06N3/063G06N3/048G06N3/044Y02D30/70
Inventor 包伯成陈成杰罗姣燕包涵祁建伟
Owner CHANGZHOU UNIV