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A neural network adaptive detecting approach of harmonic current for APF (active power filter) is proposed in this paper. It bases on the adaptive noise canceling technology (ANCT). Regarding the fundamental current as noise source, it can be cancelled from the load current, and then the harmonic current is obtained. Artificial neural network (ANN) with two layers is used to cancel the harmonics....
In the problem of multiple criteria decision making, there are situations in which information is incomplete or imprecise or views that are subjective or endowed with linguistic characteristics creating a "fuzzy" decision making environment, some index can't be expressed by certain number, just only expressed by linguistic words, under this situation, we must use fuzzy decision making method...
The blind separation of audio signal is an important application of blind signal separation technology. The traditional separation algorithm based on neural network is analyzed first in this article. The shortage of it is easy to fall into local minimum, and it causes the limitation of convergence slowly and separation results inaccurate. Then, a separation algorithm is designed with genetic algorithm...
The face is a complex multidimensional visual model and it is difficult for face recognition to develop a computational model. This paper, a novel approach is presented to face recognition, which combines Fast independent component analysis (FastICA) and Radial Basis Function neural networks. Firstly, in order to reduce the image data, low-frequency subband images are extracted from original face...
The precision of tile image edge detection has great influence on the dimension detection and defect detection of tile. A parallel model of Back-Propagation (BP) neural network for edge detection of binary image was proposed in this paper, and it was applied to edge detection of gray image. It solved the problem that the convergence speed was too slow to meet the need of training if the BP neural...
In this paper we experiment the capabilities of Hidden Markov Models (HMM) to model the time-variant signal produced by the movement of a pen when drawing a sketch such as an electrical circuit diagram. We consider that the sketches have been generated by a two-level stochastic process. The underlying process governs the stroke production from a neuro-motor control point of view: go straight, change...
Intrusion detection plays an important part in network security today. BP algorithm which is an algorithm in artificial intelligences can also be used in IDS. This paper make use of improved BP algorithm compared to the traditional one, the new algorithm brings us higher speed in constringency and more precise in detection .The new algorithm solves the difficulties of real-time system.
Supplier lies in first node of SC (supply chain). Rational supplier evaluation and selection are important to the whole SC's agility and competition. Based on analysis of supplier management, supplier evaluation guide line is discussed in paper. Then neural network-based supplier evaluation model is established. BP dynamic neural network is applied in constructing model and the amelioration weight...
It is difficult for numerical method to predict the anode accuracy in electrochemical machining (ECM) with an uneven interelectrode gap, so this paper introduces forward feed forward back propagation (BP) neural network to solve this problem. Based on analyzing effect of parameters including workpiece, electrolyte and cathode on machined accuracy, meanwhile considering the practical machining condition,...
A prediction model for purity of the Mg,Al-hydrotalcite under varied process parameters based on artificial neural net was developed. And the non-linear relationship between the hydrotalcite purity and the raw material amount of NaOH, Mg2+, Al3+ was established based on BP learning algorithm analysis and convergence improvement. The hydrotalcite purity can be predicted by means of the trained neural...
A water quality comprehensive evaluation was taken for the water in water supply network. It was on the basis of water supply network microcosmic model. The water quality indicators, by which the state of water quality was expressed, were chosen as the input vector for the comprehensive evaluation model. The self-organizing feature map and k-means arithmetic were taken in the model. As a result, a...
A visual cryptography scheme (VCS) for general access structures is a method to encode a secret image into n shares for n participants. Only qualified subsets of participants can recover the secret image. The yet known schemes omitted the deference between primary information and secondary one in secret image, and its best known upper bound on the share size is exponential. Besides its information...
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