Workflow pattern based on colored spiking neural p system and adopting multiple instances without priori runtime knowledge

A technology of running time and spiking nerve, applied in biological neural network models, neural architectures, instruments, etc., can solve problems such as simulation without workflow mode, and achieve the effect of easy-to-understand and logically expressed models

Inactive Publication Date: 2017-09-26
CHINA UNIV OF PETROLEUM (EAST CHINA)
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

There is currently no pulsating neuromembrane system that emulates workflow patterns

Method used

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  • Workflow pattern based on colored spiking neural p system and adopting multiple instances without priori runtime knowledge
  • Workflow pattern based on colored spiking neural p system and adopting multiple instances without priori runtime knowledge
  • Workflow pattern based on colored spiking neural p system and adopting multiple instances without priori runtime knowledge

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Embodiment 1

[0031] In this embodiment, a simple operation execution behavior is modeled and simulated. as attached figure 2 Shown: Establishment of a pigmented spiking neuromembrane system When executed to the attached figure 1 In the corresponding part B, there are three instance activities, but the delays are different, and 3 can be modified before the last instance is generated. All start neurons send a pulse to the corresponding operation neuron, will execute the corresponding rules, and send a coloring pulse to Π after execution i ,Π i Send information to the repeat neuron, the repeat neuron can return to the start neuron, and connect with the output neuron, and control the operation of the entire system according to the message returned by the output neuron.

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Abstract

The invention provides a workflow pattern based on a colored spiking neural p system and adopting multiple instances without priori runtime knowledge. On the basis that the colored spiking neural p system has the characteristics of distributed performance, parallelism and easiness in modeling, the multiple instances without priori runtime knowledge in the workflow pattern are subjected to analogue simulation with the colored spiking neural p system, rule-based operation is performed for each work point, and finally, a logically-clear workflow model adopting the multiple instances without priori runtime knowledge is obtained.

Description

technical field [0001] The present invention relates to a non-priori running time multi-instance workflow mode, in particular to a non-priori running time multi-instance workflow mode based on a shading impulse neural membrane system. Background technique [0002] Workflow (WorkFlow) is the calculation model of the workflow, that is, how to organize the logic and rules of the work in the workflow together in the computer with an appropriate model and perform calculations on it. The main problem to be solved by workflow is: in order to achieve a certain business goal, among multiple participants, use computers to automatically transfer according to certain predetermined rules. [0003] The main problem that workflow mainly solves is: in order to achieve a certain business goal, use a computer to automatically transfer documents, information or tasks among multiple participants according to certain predetermined rules. The concept of workflow originated in the fields of produ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q10/10G06N3/04
CPCG06N3/049G06Q10/0633G06Q10/103
Inventor 王珣王硕宋弢郝少华王敏
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)
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