中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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A Gray Wolf Optimization-Based Improved Probabilistic Neural Network Algorithm for Surrounding Rock Squeezing Classification in Tunnel Engineering 期刊论文  OAI收割
FRONTIERS IN EARTH SCIENCE, 2022, 卷号: 10, 期号: -, 页码: -
作者:  
Huang, Xing;  Yin, Xin;  Liu, Bin;  Ding, Ziwei;  Zhang, Chaofan
  |  收藏  |  浏览/下载:16/0  |  提交时间:2023/08/02
Parameter optimization criteria guided 3D point cloud classification 期刊论文  OAI收割
MULTIMEDIA TOOLS AND APPLICATIONS, 2019, 卷号: 78, 期号: 4, 页码: 5081-5104
作者:  
  |  收藏  |  浏览/下载:68/0  |  提交时间:2019/07/12
A Method for Rockburst Prediction in the Deep Tunnels of Hydropower Stations Based on the Monitored Microseismicity and an Optimized Probabilistic Neural Network Model 期刊论文  OAI收割
SUSTAINABILITY, 2019, 卷号: 11, 期号: 11, 页码: -
作者:  
  |  收藏  |  浏览/下载:104/0  |  提交时间:2020/04/08
A MLP-PNN neural network for CCD image super-resolution in wavelet packet domain (EI CONFERENCE) 会议论文  OAI收割
2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008, October 12, 2008 - October 14, 2008, Dalian, China
Zhao X.; Fu D.; Zhai L.
收藏  |  浏览/下载:68/0  |  提交时间:2013/03/25
Image super-resolution methods process an input image sequence of a scene to obtain a still image with increased resolution. Classical approaches to this problem involve complex iterative minimization procedures  typically with high computational costs. In this paper is proposed a novel algorithm for super-resolution that enables a substantial decrease in computer load. First  decompose and reconstruct the image by wavelet packet. Before constructing the image  use neural network in place of other rebuilding method to reconstruct the coefficients in the wavelet packet domain. Second  probabilistic neural network architecture is used to perform a scattered-point interpolation of the image sequence data in the wavelet packet domain. The network kernel function is optimally determined for this problem by a MLP-PNN (Multi Layer Perceptron - Probabilistic Neural Network) trained on synthetic data. Network parameters dependent on the sequence noise level. This super-sampled image is spatially Altered to correct finite pixel size effects  to yield the final high-resolution estimate. This method can decrease the calculation cost and get perfect PSNR. Results are presented  showing the quality of the proposed method. 2008 IEEE.  
SEPARATING FIGURES, MATHEMATICAL FORMULAS AND JAPANESE TEXT FROM FREE HANDWRITING IN MIXED ONLINE DOCUMENTS 期刊论文  OAI收割
International Journal of Pattern Recognition and Artificial Intelligence, 2004, 卷号: 18, 期号: 7, 页码: 1173-1187
KEISUKE MOCHIDA; MASAKI NAKAGAWA
  |  收藏  |  浏览/下载:18/0  |  提交时间:2010/05/13
Application of probabilistic neural network in the clinical diagnosis of cancers based on clinical chemistry data 期刊论文  OAI收割
analytica chimica acta, 2002, 卷号: 471, 期号: 1, 页码: 77-86
作者:  
Shan, YC;  Zhao, RH;  Xu, GW;  Liebich, HM;  Zhang, YK
收藏  |  浏览/下载:246/106  |  提交时间:2010/11/30