Hybrid neural network algorithm-based performance assessment method used for complex industrial product

Abstract

The invention discloses a hybrid neural network (HNN) algorithm-based performance assessment method used for a complex industrial product. The method comprises the steps of firstly determining HNN structure parameters; secondly initializing a connection weight of a neuron of each layer and a characteristic point of a membership function, and setting an error limit value, an iterative frequency, a learning rate and a momentum factor; thirdly performing quantification and normalization on input fuzzy sample data, and performing normalization on a quantitative numerical value; fourthly calculating a learning error derivative of the neuron of each layer in repeated iteration, correcting the connection weight, and adjusting the characteristic point of the membership function by adopting a gradient descent method; and finally performing repeated iteration until a set error is reached, and giving out a quantitative performance prediction result of the complex industrial product through an HNN algorithm. The HNN algorithm provides a solution with high prediction accuracy for the problem in complex industrial performance assessment based on qualitative, quantitative and qualitative-quantitative combined data input and possibly different dimension numbers of input data items in actual conditions.

Description

technical field [0001] The invention belongs to the fields of computer simulation and algorithm optimization, and relates to a performance evaluation method for complex industrial products based on a hybrid neural network (HNN) algorithm. Background technique [0002] A complex industrial product is usually a comprehensive system that performs a specific function, or a combination of some cooperative working units. With the development of science and technology, the complexity of products increases, and the corresponding research and production costs also increase. Typical complex products include aircraft, complex mechanical and electronic products, automobiles, weaponry systems, etc. In the development and production of industrial products, how to effectively evaluate the performance of products (especially complex industrial products) has great practical and economic significance. Through product performance evaluation, products with better performance and less cost can...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problem of different types and uncertain quantities of product input data in the performance evaluation process of complex industrial products, and propose a method for evaluating the performance of complex industrial products based on the HNN algorithm

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