NEURALNETWORK

作品数：17被引量：69H指数：3
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相关作者：李妍蒋国荣张韧范雯更多>>
相关机构：解放军理工大学西南交通大学华北电力大学陕西职业技术学院更多>>
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Off-Line Signature Recognition Based on Angle Features and Artificial Neural Network Algorithm
《Journal of Electronic Science and Technology》2014年第1期85-89,共5页Laila Y.Fannas Ahmed Y.Ben Sasi 
supported by the University of Misurata,Libya and the College of Industrial Technology,Libya
Handwritten signature recognition is presented based on an angle feature vector by using the artificial neural network （ANN） in this research. Each signature image will be represented by an angle vector. The feature...
关键词：Angle features artificial neuralnetwork signature recognition. 
Multi-algorithm and multi-model based drug target prediction and web server
《Acta Pharmacologica Sinica》2014年第3期419-431,共13页Ying-tao LIU Yi LI Zi-fu HUANG Zhi-jian XU Zhuo YANG Zhu-xi CHEN Kai-xian CHEN Ji-ye SHI Wei-lia ng ZHU 
Aim： To develop a reliable computational approach for predicting potential drug targets based merely on protein sequence. Methods： With drug target and non-target datasets prepared and 3 classification algorithms （...
关键词：drug target protein sequence multi-algorithm and multi-model strategy web server support vector machine NEURALNETWORK decision tree 
Comprehensive Analysis and Artificial Intelligent Simulation of Land Subsidence of Beijing, China被引量：7
《Chinese Geographical Science》2013年第2期237-248,共12页ZHU Lin GONG Huili LI Xiaojuan LI Yongyong SU Xiaosi GUO Gaoxuan 
Under the auspices of National Natural Science Foundation of China(No.41201420,41130744);Beijing Nova Program(No.Z111106054511097);Foundation of Beijing Municipal Commission of Education(No.KM201110028016)
Mechanism and modeling of the land subsidence are complex because of the complicate geological background in Beijing, China. This paper analyzed the spatial relationship between land subsidence and three factors, incl...
关键词：land subsidence groundwater level change compressible sediments thickness building area Back Propagation NeuralNetwork and Genetic Algorithm （BPN-GA） model 
ESTIMATION OF ROCK-AGGREGATE VOLUME BASED ON PCA AND LM-OPTIMIZED NEURAL NETWORK
《Journal of Electronics(China)》2009年第6期825-830,共6页Zhao Pan Chen Ken Wang Yicong Zhang Yun 
Supported by Ningbo Natural Science Foundation (No. 2006A610016);Foundation of Ministry of Education for Returned Overseas Students & Scholars (SRF for ROCS, SEM. No. 2006699)
In granule processing industries, acquisition of particle size and shape parameters is a common procedure, and volumetric measurement is of great importance in dealing with particle sizing and gradation. To eradicate ...
关键词：Particle image Particle parameters Principal Component Analysis （PCA） NEURALNETWORK Volume estimation 
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