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The number of distributed Photovoltaic (PV) plants that produce electricity has been significantly increased, and issue of monitoring and maintaining a PV plant has become of great importance and invo...
Known scene geometry and camera calibration parameters give important information to video content analysis systems. In this paper, we propose a novel method for camera pose estimation based on people...
Gruhn, Matthias, John Guckenheimer, Bruce Land, and Ronald M. Harris-Warrick. Dopamine modulation of two delayed rectifier potassium currents in a small neural network. J Neurophysiol 94: 2888–2900,...
The Line flow Contingency Selection and Ranking (CS & R) is performed to rank the critical contingencies in order of their severity. An Artificial Neural Network based method for MW security assessmen...
For water color remote sensing study of inland water body, terrestrial satellite is often a good data source, because it has high spatial resolution. However, the precision of water color remote sens...
The artificial neural networks (ANNs), among different soft computing methodologies are widely used to meet the challenges thrown by the main objectives of data mining classification techniques, due t...
Image segmentation is an important step in many computer vision algorithms. The objective of segmentation is to obtained an optimal region of convergences (ROC). Error in this stage will impact all hi...
Approaches to machine intelligence based on brain models use neural networks for generalization but they do so as signal processing black boxes. In reality, the brain consists of many modules that ope...
Chaotic systems are sensitive to initial conditions, system parameters and topological transitivity and these properties are also remarkable for cryptanalysts. Noise like behavior of chaotic systems i...
Monitoring and predicting machine components' faults play an important role in maintenance actions. Developing an intelligent system is a good way to overcome the problems of maintenance management. ...
This paper reviews the growth of approaches in product costing and draws synergies with information management and resource planning systems, to investigate potential application of state of the art m...
以前馈型BP神经网络进行双目立体视觉系统的摄像机标定研究,基于Harris角点提取,提出了增加约束的改进方法,从而提高网络训练样本集的数据精度;探讨了神经网络的欠泛化、过泛化问题,综合运用归一化、提前终止等多种策略,进一步提高网络泛化能力,并与经典标定方法进行对比。试验结果表明,该方法能够获得较高的摄像机标定精度。
The leveling adjustment process of cable-driven parallel mechanism is challenging due to the difficulty to obtain an accurate mathematical model and the fact that different sources of uncertainties ex...
Independently from artificial intelligence applications, an artificial neural network can be viewed as a powerful tool for function reconstruction. Previous papers used this property to model an impli...
Neural network (NN) applications have recently been employed to extract the parameters of an articulatory speech synthesizer from a given speech signal. Results from these attempts showed that a singl...

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