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Synchronizing merge workflow pattern based on colored spiking neural p system

A technology of pulse nerves and workflow, applied in biological neural network models, neural architectures, instruments, etc., can solve problems such as simulation without workflow models, and achieve the effect of easy-to-understand models and clear logical expressions

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

AI Technical Summary

Problems solved by technology

There is currently no pulsating neuromembrane system that emulates workflow patterns

Method used

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  • Synchronizing merge workflow pattern based on colored spiking neural p system
  • Synchronizing merge workflow pattern based on colored spiking neural p system
  • Synchronizing merge workflow pattern based on colored spiking neural p system

Examples

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Embodiment 1

[0031] This embodiment is to model and simulate the harvesting behavior in a simple procurement process. As attached figure 2 Shown: Establishment of a pigmented spiking neuromembrane system Assume that there are two options for receipt and return during the receipt check, and the subsequent behavior of these two options is financial accounting. According to the context, there may be only one of the two behaviors of receipt and return, or both. Pay attention to the business changes of this design, and different combinations produce different actual businesses. For example: all receipts, all returns, and partial returns can all be reflected in this process. According to the context, if only the behavior of receiving goods exists, when the neuron After execution, the subsequent financial bookkeeping, that is, output, will be executed. If both behaviors exist, neurons are required with After all are executed, bookkeeping can be completed. All in all, without informati...

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Abstract

The invention provides a synchronizing merge workflow pattern based on a colored spiking neural p system. On the basis that the colored spiking neural p system has the characteristics of distributed performance, parallelism and easiness in modeling, synchronizing merge in the workflow pattern is subjected to analogue simulation with the colored spiking neural p system, rule design is performed for each work point, and finally, a logically-clear synchronizing merge workflow model is obtained.

Description

technical field [0001] The present invention relates to a synchronous merging workflow mode, in particular to a synchronous merging workflow mode based on a coloring 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 production organization and office automat...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q10/10G06N3/04
CPCG06N3/049G06Q10/06316G06Q10/0633G06Q10/103
Inventor 王珣丁桐郝少华宋弢马同茂
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)
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