A three-level identification model is proposed in the damage identification of structures. The BPNN and ART neural networks,which are based on error propagation algorithm and self-adaptive resonance theory respectively,are coupled in this model to improve its performance.
An implementation method of GT is presented based on the implementation of ART neural networks This algorithm is high in efficiency and effective in GT In addition, the bottle neck machine (or any of its parts) could be directly displayed
The paper studies the models of ART neural networks and their basic algorithms using the reasearch achievements based on psychology,biology-chemistry and neural- physiology and adaptive resonance theory. The integrated system software of ART1,FART,ART2 and ART3 neural networks is developed. The software is applied to the real failure pattern recognition,and the result is satisfactory.
This paper presented a study of the cepstrum characters based on cepstrum theory ,and brorght forward that cepstrum can be used in extracting harmonic characters. By applying this to ship-radiated noise combined with ART networks, recognition result under 2 or 3 work-status 178 test data can be reached fairly well.
An adaptive resonance theory (ART) neural network architecture is used to identify machine faults from the parameters of a parametric model of the vibration signal.
An adaptive resonance theory (ART) neural network is used as the character recognizer.
This paper proposes a new part family classification system (IPFACS: Image Processing and Fuzzy ART based Clustering System), which incorporates image processing techniques and a modified Fuzzy ART neural network algorithm.
An Intelligent Ballistocardiographic Chair using a Novel SF-ART Neural Network and Biorthogonal Wavelets
All schemata in this experiment are generated by ART neural network.