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In this paper, based on SIFT feature algorithm, the SIFT feature descriptor is improved, the area of feature points used to construct a new circular region feature descriptor, thus improving the characteristics of the problem of high dimension, but also enhanced features descriptor of their own anti-rotation, and then two images by calculating the feature vector Euclidean distance, the findings were...
Solar energy is developing fast recently. Solar energy has the feature of intermittent, fluctuation and random, and it has serious harms on large scale photovoltaic grid-connected generation. This paper proposes a method to predict daily total solar-radiation and photovoltaic generation using wavelet-neural network. This method uses wavelet function to substitute the transfer function of neural-network...
Promoting informatization, based on the common regional characteristics and industrial relationship, is an important strategic measure to support the development of enterprise cluster. From the perspective of value chain, on the basis of the analysis of mechanism that informatization improves continuous value addition of cluster value system, the paper proposes the informatization model of enterprise...
To identify the English pronunciation errors made by Chinese learners, this paper utilizes uni-directional microphones to construct a superdirective beamformer for capturing high quality input speech, and integrates the techniques of anti-model and confidence measure into the speech recognizer for accurate identification of the speaker's pronunciation errors. As to the beamformer, although designing...
In recent years disputed authorship in source code has been congruently neglected after detection of plagiarism has been heatedly debated for a long period, theoretical and feasible measures have been taken to weight its property. In this paper, according to existence of individual but distinct programming style, the authors, with aid of SVM (support vector machine), one tool of neural networks and...
Elman neural network was one of the dynamic recurrent neural networks. In this paper, a new modified Elman network was proposed first. Then the dynamic characteristics of Elman series neural network are fully discussed. The theory study proved that the new Elman network inherently has proportional (P), integral (I), derivative (D) properties and traditional Elman networks only have PI or I characteristics...
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