A clustering method for large quantities of high-dimensional data which combining unscented Kalman filter(UKF) with self-organizing feature maps(SOFM) was proposed to improve the recognition accuracy of splice sites among the gene sequences.

Image fusion binarization method based on SOFM neural network;

Nine major kinds of fault in electrical source system of surface-to-air missile have been diagnosed respectively through BP and SOFM neural network,and pleasing results are obtained.

To reliably identify the defects from the ultrasonic tomography of concrete by enhancing the SNR of inversion images,there are two methods,two-dimensional median filtering and cluster analysis based on SOFM neural network,are used in the post-processing of inversion images.

A study of some problems in pattern recognition by self-organizing neural network;

Combustion stability study based on statistic analysis and self-organizing neural network;

Improved dynamical binary-tree based self-organizing neural network algorithm;

Using self-organized neural network in CRM;

In this paper,an aggregation method is presented,in which the multi induction motors are classified into different types using the self-organized neural network and each type of motor is aggregated with a new steady state model equivalence method.

It is prove that the Self-organized neural network based on Rough Set perform better both in learning and pattern recognition.