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Research Article Open Access
Constructing a targeted wavelet neural network is an effective method to enhance network performances and recognition effect. By introducing heart sounds wavelet of neural network hidden layer as the activation function, heart sound targeted learning and recognition technology are integrated deeply, to obtain a new heart sounds wavelet neural network. Selecting normal heart sounds and premature beats heart sound signals as the experimental objects, accuracy of recognition rate of heart sounds reached 97%. Compared with Morlet wavelet neural network and Mexicanhat wavelet neural network, the heart sound wavelet neural network shows obvious superiority on algorithm speed and convergence in heart sound recognition.
Heart sound, Activate function, Heart sound wavelet neural network, Acoustics, Aerospace, Applied physics, Atomic Nuclei, Computational Physics, Fluid Mechanics, Force, Geological Research, Gravity, Industrial Physics, Internal Energy, Molecular Physics, Oscillations, Phenomenology, Pure Physics, Quantum Physics, Radiation, Statistical Physics, Thermal Properties