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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
武汉岩土力学研究所 [2]
长春光学精密机械与物... [1]
大连化学物理研究所 [1]
自动化研究所 [1]
软件研究所 [1]
采集方式
OAI收割 [6]
内容类型
期刊论文 [5]
会议论文 [1]
发表日期
2022 [1]
2019 [2]
2008 [1]
2004 [1]
2002 [1]
学科主题
Geology [1]
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浏览/检索结果:
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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
tunnel engineering
surrounding rock squeezing deformation
squeezing classification
probabilistic neural network
improved gray wolf optimization
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
Point cloud classification
Feature extraction
Conditional random field
Parameter optimization criterion
Probabilistic neural network
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:
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收藏
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浏览/下载:104/0
  |  
提交时间:2020/04/08
energy
rockburst prediction
microseismicity
probabilistic neural network
Jinping II hydropower station
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
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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
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收藏
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浏览/下载:18/0
  |  
提交时间:2010/05/13
Pen interfaces
online handwritten patterns
pattern segmentation
stroke classification
probabilistic model
segmentation by recognition
neural-network
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
classification
cancer
nucleosides
probabilistic neural network