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Convolutional Neural Networks (CNN) have showed success in achieving translation invariance for many image processing tasks. The success is largely attributed to the use of local filtering and max-pooling in the CNN architecture. In this paper, we propose to apply CNN to speech recognition within the framework of hybrid NN-HMM model. We propose to use local filtering and max-pooling in frequency domain...
For the shortage of an ultra-long-distance auto-alarming system at the airports, a new fiber optic perimeter security system based on the M-Z interferometers is proposed. This system can be used to identify the invasion of walkers, little animals and vehicles within BP neural network. Firstly, the input signal was preprocessed to select the vibration signals which includes intrusion and takes wavelet...
Probability theory is a branch of mathematics dealing with chance phenomena and has clearly discernible links with the real world. It is the framework foundations of many applying subjects, such as information theory, mathematics risk theory and Insurance theory for actuaries etc. The strong deviation theorems is one of the central questions for studying in the international probability theory . In...
This paper addresses the issue of trajectory tracking control based on a neural network controller for industrial manipulators. A new control scheme is proposed based on neural network technology and linear feedback approach for tracking a planned trajectory. The control system is established with two parallel subsystems designed separately. One is a linear controller based on state feedback with...
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