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Convolutional Neural Network (CNN) has received remarkable achievements in hyperspectral image (HSI) classification. However, how to effectively implement spatial context that has been demonstrated to be crucial for classification of HSI is still an open issue. Current CNNs for hyperspectral classification are restricted into a small scale due to small-scale input and limited training samples. Therefore,...
Deep learning techniques have brought in revolutionary achievements for feature learning of images. In this paper, a novel structure of 3-Dimensional Convolutional AutoEncoder (3D-CAE) is proposed for hyperspectral spatial-spectral feature learning, in which the spatial context is considered by constructing a 3-Dimensional input using pixels in a spatial neighborhood. All the parameters involved in...
Various ideal masks have been used as the training targets for supervised speech separation. While different choices often lead to different results, the reason remains unclear. In this paper, an oracle method is applied to investigate the properties of the ideal masks including the ideal binary mask (IBM), the ideal ratio mask (IRM), the phase sensitive mask (PSM) and the complex ideal ratio maks...
Time Series Prediction is widely used in our daily life. We propose a forecasting method based on RBF neural network for time series prediction in this paper. This approach consists of two phases, training phase and working phase. During training phase, we integrate subtractive clustering method and k-means method to generate the centers of RBF neural network, which can cover the shortage of only...
We conducted an activation likelihood estimation (ALE) meta-analysis to quantitatively review the existing working memory (WM) training studies that investigated neural activation changes both in healthy individuals and patients with schizophrenia. ALE analysis of studies in healthy individuals indicates a widespread distribution of activation changes with WM training in the frontal and parietal regions,...
Walking is the most easily achievable way to reduce obesity and to keep fit. Step counting devices are helpful for users to develop regular walking habits, but they may mistake some abnormal situations (SHAKING, SWING, JITTER, PENDULUM, etc.) for walking and thus result in step counting errors. Such errors will inflate the number of steps, and lead to biased inter-user comparisons or competitions...
There exists an increasing strong demand for internet application in passenger trains, and the wireless broadband coverage along the whole railway is a prerequisite of the internet application in passenger trains. Wireless Mesh Network(WMN) based on 802.16 provides a new solution idea for the wireless broadband coverage of the railway, which is based on OFDM technology to support high-bandwidth data...
The drilling of hard-to-cut high manganese steel materials is a difficulty in the field of machining. Research method for drilling temperature which has been commonly used is experimental method. The method has long-time and the high-cost drawbacks. Adopting error back neural network technology and using Matlab and C language programming method, in this paper neural network prediction model of drilling...
As a difficult processing material, the drilling of the high manganese steel has been a difficulty among the mechanical processing industry, because its plastic deformation is great and produces the serious hardening phenomenon in the course of processing. During the process of drilling the high manganese steel, great cutting force will be produced, so the great power of the lathe can be consumed...
In orthogonal frequency division multiplexing (OFDM) system, synchronization and channel estimation are two important issues under the wireless fading channel in broadband wireless communication. The timing and frequency offset will affect the accuracy of channel estimation. These issues are studied in this paper, and a frequency selective fading channel under the OFDM system model is set up. This...
Motor fault diagnosis is important in industrial and agricultural production. Many methods have been employed to solve this problem. A novel method for motor fault diagnosis is proposed in this paper, which adopts the wavelet neural network and applies improved genetic algorithm to optimize the initial parameters of wavelet neural network. The results of training and testing show that the method is...
On the basis of the analysis of the characteristics of the course operating system, the application of the task-driven method in teaching of this course is researched in this paper. The teaching task design, complement methods and comments on the tasks are discussed, some experiences and attentions are given. The teaching practice shows that the appropriate applications of the task-driven method in...
Prediction of electronic equipments and systemspsila Electromagnetic Compatibility (EMC) issues at early develop stages is inevitable for achieving their EMC discipline. This paper proposes a method to fast predict EMC problems based on Artificial Neural Networks (ANN). By means of choosing relevant Electromagnetic Interference parameters to compose of input prediction features, using the back propagation...
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