A process for constructing multiple weighing value synapse nerve cell

A construction method and neuron technology, applied in the computer field, can solve problems such as waste of resources and time, inability to adapt to complex surfaces, waste, etc.

Inactive Publication Date: 2003-12-31
INST OF SEMICONDUCTORS - CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] From the above introduction, it can be seen that the hypersurface formed by neurons with only one weight synapse is relatively simple and cannot meet the needs of complex surfaces.
Moreover, when ordinary neurons implement neu...

Method used

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  • A process for constructing multiple weighing value synapse nerve cell
  • A process for constructing multiple weighing value synapse nerve cell
  • A process for constructing multiple weighing value synapse nerve cell

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Embodiment

[0033] The technology patented in this application has been applied to the CASSANDRA-II neural computer, realizing a general neural network compatible with common neuron models and RBF neuron models. the neuron Y = f { Σ [ W i 1 ( X i - W i 2 ) | W i 1 ( X ...

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Abstract

A process for constructing multiple weighing value synapse nerve cell comprising, (1) determining the number of the synapse, (2) constructing the multiple weighing value synapse, (3) selecting activation threshold according to synapse function and system characteristic, (4) forming the multiple weighing value synapse, (5) determining the threshold value according to synapse function, excitation function and synapse number.

Description

technical field [0001] The invention belongs to the field of computers and provides a neuron construction method of multi-weight synapse. Background technique [0002] Neuron is the basic unit of neural network and an important factor affecting the performance of neural network. A general neuron structure such as figure 1 shown. It can be seen from the figure that each input (synapse) of a neuron has only one weight, which is designed to simulate the structure of biological neurons. The mathematical expression of the neuron is as follows, where Y is the output of the neuron, X i for the nerve Y = f [ Σ i = 0 n W i X i - θ ] element input, W i is the input weight of the neuron, θ is th...

Claims

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Application Information

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IPC IPC(8): G06N3/06
Inventor 王守觉石寅鲁华祥王志海
Owner INST OF SEMICONDUCTORS - CHINESE ACAD OF SCI
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