BP neural network prediction model optimization method for emission performance of diesel engine

A BP neural network and predictive model technology, applied in biological neural network models, neural learning methods, gene models, etc.

Inactive Publication Date: 2022-01-14
XIHUA UNIV
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  • Application Information

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Problems solved by technology

In the research process of diesel engines, with the continuous development of science and technology, the method of establishing numerical simulation models based on computer software (most models are based on physical and chemical thermodynamic models and statistical methods) has been gradually applied to the research of diesel engine combustion and emission performance Although the numerical simulation model has certain advantages compared with the previous traditional experimental methods, when it comes to more complex engineering problems, the traditional numerical simulation model based on computer software still has limitations.

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  • BP neural network prediction model optimization method for emission performance of diesel engine
  • BP neural network prediction model optimization method for emission performance of diesel engine
  • BP neural network prediction model optimization method for emission performance of diesel engine

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Embodiment 1

[0074] Establishment of BP Neural Network Model

[0075] The BP neural network includes an input layer, a hidden layer and an output layer; the input layer is responsible for receiving the data sample matrix, the hidden layer is responsible for the calculation of data samples, and the output layer is responsible for outputting data. The entire BP neural network is regulated by the error value, and the weight and threshold of any layer of neurons are continuously optimized to make the optimization result within a reasonable error range. At this time, the BP neural network model can accurately predict unknown data. The flow process of the BP neural network prediction model optimization method of the diesel engine emission performance provided by the present embodiment is as follows figure 1 shown.

[0076] The modeling method of the BP neural network prediction model is:

[0077] a. Construction of BP neural network

[0078] In actual engineering, the characteristics of inpu...

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Abstract

The invention relates to the technical field of biodiesel, and in particular relates to a BP neural network prediction model optimization method for the emission performance of a diesel engine. The method comprises the following steps of: 1 establishing a BP neural network prediction model; 2 optimizing a weight value and a threshold value through a genetic algorithm, wherein the optimization comprises the following steps: (1) initializing a population; (2) calculating a fitness function; (3) carrying out selecting operation; (4) carrying out crossover operation; (5) carrying out mutation operation; and (6) calculating a fitness function. The method is high in accuracy, good in stability and high in generalization ability, and the BP neural network prediction model obtained through optimization can accurately predict NOx and particulate matter emission generated when biodiesel is combusted by the diesel engine.

Description

technical field [0001] The invention relates to the technical field of biodiesel, in particular to a BP neural network prediction model optimization method for diesel engine burning biodiesel emission performance. Background technique [0002] Due to the advantages of high thermal efficiency, low fuel consumption, high reliability and long life, diesel engines have been widely used in transportation, ships, construction machinery, generator sets and other fields. Diesel engine is a power output device, and fossil energy is its power source. Therefore, the consumption of fossil energy is increasing with the wide application of diesel engine. Substances that are harmful to human health pose severe challenges to energy security and environmental protection. [0003] Biodiesel is a clean, renewable, carbon-neutral energy source. Because of its high similarity to petrochemical diesel in its physical and chemical properties, it is the best choice to replace petrochemical diesel. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/17G06F30/27G06N3/04G06N3/08G06N3/12
CPCG06F30/17G06F30/27G06N3/086G06N3/126G06N3/044
Inventor 潘锁柱蔡敏杜晨搏蔡凯方嘉何国太
Owner XIHUA UNIV
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