An alternative respiratory sounds classification system utilizing artificial neural networks

Classification of Respiratory Sounds by Using an Artificial Neural Network

In this paper, a classification method for respiratory sounds (RSs) in patients with asthma and in healthy subjects is presented. Wavelet transform is applied to a window containing 256 samples. Elements of the feature vectors are obtained from the wavelet coefficients. The best feature elements are selected by using dynamic programming. Grow and Learn (GAL) neural network is used for the class...

Gene Classification Artificial Neural System

Introduction As technology improves and molecular sequencing data accumulates exponentially, continued progress in the Human Genome Project will depend increasingly on the development of advanced computational tools for rapid annotation and easy organization of genomic sequences. Currently, a database search for sequence similarities represents the most direct computational approach to decipher...

Protein classification artificial neural system.

A neural network classification method is developed as an alternative approach to the large database search/organization problem. The system, termed Protein Classification Artificial Neural System (ProCANS), has been implemented on a Cray supercomputer for rapid superfamily classification of unknown proteins based on the information content of the neural interconnections. The system employs an ...

Utilizing satellite images and artificial neural networks in estimation of vegetation fraction in arid regions

Artificial neural networks: An . . .