On the possibility of using artificial neural network in the identification of multi-parameter modes;

The idea of the method is firstly map the data from their original space to a high dimensional space(or kernel space) where the data are expected to be more separable then perform subspace pattern recognition in the high dimensional space.

Study and application of pattern recognition and support vector machines in composite optimized design;

Design of the pattern recognition classifier of the spectrum signal of droplet transfer;

Distinguishing gas-bearing formation from compact sandstone with pattern recognition;

A intelligent control algorithm for multi-model systems based on model identification;

Research on model identification in distributed fiber sensor system;

The main discussion is the application of fuzzy logic in the fire image model identification.

A portable intelligent fault diagnosis instrument for gear box base-on microprocessor and CPLD is introduced on its hardware and software,and statistic mode identification are applied fault diagnosis of gear.

This paper introduces the methods of identifying dynamic state loading,including frequency domain,time domain,and the method based on modern signal processing and mode identification,and analyzes their characteristics.

After getting the characteristic vector of fault diagnoses,using three layer advanced BP network,have a research and analysis on some typical fault events, find out that ANN technology can be used in solving the mode identification problems of big turning bearing which have typical fault problem.