A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is
2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP)
In this paper, the hybrid multidimensional wavelet-neuro-system for pattern recognition tasks is proposed. Also learning algorithm for all its parameters (synaptic weights, the centers, and widths of wavelet activation functions) based on cross entropy cost function was proposed. The proposed system is characterized by high learning speed and high approximation properties in comparison with wellknown approaches. The efficiency of the proposed approach has been justified based on different benchmarks and real data sets.doi:10.1109/dsmp.2018.8478608 fatcat:ao5v3afc3nc5xjp4td2ivo7isu