Parameter sound source modeling method based on improved BP (Back Propagation) neural network

Abstract

The invention provides a parameter sound source modeling method based on an improved BP (Back Propagation) neural network, in order to solve the problem of difficulty in modeling a parameter sound source system at present. The method comprises the following steps: firstly, collecting sufficient training and testing sample data and preprocessing the data; establishing a neural network model; adopting a genetic algorithm for performing optimizing process on the structure and parameter of the neural network model; searching for an initial weight value and a threshold value between the number of better neural network hidden layers and neural cells; and lastly, training and testing an established parameter sound source model based on the improved BP neural network by using the sample data. The model has the advantages of reliability and higher assessing precision.

Description

technical field [0001] A modeling method of a parametric sound source, in particular relates to a modeling method of a parametric sound source based on an improved BP neural network. Background technique [0002] The parametric sound source is a new concept sound source that uses the nonlinear propagation effect of ultrasonic waves to generate high-directional audio sound waves and has broad application prospects. However, since the working principle of the parametric loudspeaker is to use the nonlinear interaction of the air, the self-demodulated sound signal will inevitably be distorted, and the nonlinear distortion factor will inevitably be increased when the ultrasonic modulation is performed on the audible sound. Although now Using a better modulation algorithm, the distortion of the demodulated audible sound (sound distortion) has been greatly improved, but this sound distortion still exists in the actual audio frequency directional system. To solve the problem of sou...

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Problems solved by technology

However, since the "Berktay far-field solution" only takes the second-order approximation when considering nonlinear effects, and does not take into account effects such as scattering and absorption, it can only be used as a qualitative basis

Although the Khokhlov-Zabolotskaya-Kuznetsov (KZK) equation fully takes into account the nonlinearity, absorption, and scattering effects of the finite-amplitude sound beam in fluids and solids, it is still difficult to obtain the analytical solution of the equation

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