搜索结果: 1-15 共查到“物理学 NEURAL”相关记录24条 . 查询时间(0.109 秒)
COMPARATIVE STUDY ON DEEP NEURAL NETWORK MODELS FOR CROP CLASSIFICATION USING TIME SERIES POLSAR AND OPTICAL DATA
Deep neural networks CNNs LSTMs ConvLSTMs Crop classification
2019/2/28
Crop classification is an important task in many crop monitoring applications. Satellite remote sensing has provided easy, reliable, and fast approaches to crop classification task. In this study, a c...
SEMANTIC SEGMENTATION OF CONVOLUTIONAL NEURAL NETWORK FOR SUPERVISED CLASSIFICATION OF MULTISPECTRAL REMOTE SENSING
Semantic Segmentation Multi Spectral Remote Sensing Convolutional Neural Network U-net multi-scale image
2018/5/16
Semantic segmentation is a fundamental research in remote sensing image processing. Because of the complex maritime environment, the classification of roads, vegetation, buildings and water from remot...
SUPERVISED AND UNSUPERVISED NEURAL MODELS FOR MULTISPECTRAL IMAGE CLASSIFICATION
Land Cover Classification Identification Algorithms Artificial_Intelligence Imagery Pixel Multispectral
2015/7/29
Competitive learning neural networks have been successfully used as unsupervised training methods. It provides a way to discover the
salient general features that can be used to classify a set of pa...
A Neural Network based Background Supression Technique applied to VHE Gamma Ray Data coming from the Crab Pulsar
Imaging Atmospheric Cherenkov Technique Flux Upper Limit
2014/12/12
In this thesis we present new results for the 99.9% confidence level flux upper limits on the pulsed VHE gamma ray signal coming from the Crab pulsar. In order to achieve optimum hadronic background s...
Two-Photon Exchange Effect Studied with Neural Networks
proton form-factors two-photon exchange correction
2011/7/21
The novel approach to the extraction of the two-photon exchange (TPE) correction from the elastic $ep$ scattering data is presented. The Bayesian framework for the neural networks is adapted.
Multiscale approach for bone remodeling simulation based on finite element and neural network computation
Multiscale Hierarchical Bone remodeling Finite element Neural network
2011/8/5
Abstract: The aim of this paper is to develop a multiscale hierarchical hybrid model based on finite element analysis and neural network computation to link mesoscopic scale (trabecular network level)...
A nonextensive method for spectroscopic data analysis with artificial neural networks
Nonextensive statistical mechanics Neural networks Pattern classification Spectroscopy
2010/7/5
In this paper we apply an evolving stochastic method to construct simple and effective Artificial Neural Networks, based on the theory of Tsallis statistical mechanics. Our aim is to establish an auto...
Nonlinear Time Series Prediction
Using Chaotic Neural Networks
neural network chaotic dynamics forecasting nonlinear time series
2007/8/15
2001Vol.35No.6pp.759-762DOI:
Nonlinear Time Series Prediction
Using Chaotic Neural Networks
LI Ke-Ping and CHEN Tian-Lun
Department of Physics, Nankai University, Tianji...
A Note on “Global Exponential Convergence Analysis of Hopfield Neural Networks with Continuously
Distributed Delays”
Hopfield neural networks distributed delays equilibrium point globally exponential stability
2007/8/15
2007Vol.47No.6pp.1143-1144DOI:
A Note on “Global Exponential Convergence Analysis of Hopfield Neural Networks with Continuously
Distributed Delays”
CHANG Da-Wei
Facu...
Dynamics of Transiently Chaotic Neural Network and
Its Application to Optimization
neural network
transient chaotic dynamics chaotic annealing
2007/8/15
2001Vol.35No.1pp.22-27DOI:
Dynamics of Transiently Chaotic Neural Network and
Its Application to Optimization
YANG Li-Jiang, CHEN Tian-Lun and HUANG Wu-Qun
Department of...
Phase Space Prediction Model Using Neural Networks
chaotic time series neural network
exponential divergence
2007/8/15
2002Vol.38No.3pp.313-316DOI:
Phase Space Prediction Model Using Neural Networks
LI Ke-Ping1,2 and CHEN Tian-Lun2
1 Institute of System Science, Northern Jiaotong
Univer...
Application of Local Activity Theory of Cellular Neural Network
with Two Ports to the Coupled Lorenz-Cell Model
cellular neural network local activity
coupled Lorenz-cell chaos numerical simulation
2007/8/15
2002Vol.37No.6pp.759-767DOI:
Application of Local Activity Theory of Cellular Neural Network
with Two Ports to the Coupled Lorenz-Cell Model
MIN Le-Quan and YU Na
Depart...
Control of Halo-Chaos in Beam Transport Network
via Neural Network Adaptation with Time-Delayed
Feedback
beam transport network periodic focusing channels
high-current proton beam halo-chaos neural network adaptation control
time-delayed feedback
2007/8/15
2006Vol.45No.1pp.117-120DOI:
Control of Halo-Chaos in Beam Transport Network
via Neural Network Adaptation with Time-Delayed
Feedback
FANG Jin-Qing,1 LUO Xiao-Shu,2 and HUANG Guo-...
Effects of Interactive Function Forms in a Self-Organized Critical
Model Based on Neural Networks
self-organized criticality avalanche neuron networks
2007/8/15
2003Vol.40No.5pp.607-613DOI:
Effects of Interactive Function Forms in a Self-Organized Critical
Model Based on Neural Networks
ZHAO Xiao-Wei, ZHOU Li-Ming, and CHEN Tian-Lun
...
Control of Unknown Chaotic Systems Based on Neural Predictive Control
chaos control neural networks predictive control
2007/8/15
2003Vol.40No.4pp.439-442DOI:
Control of Unknown Chaotic Systems Based on Neural Predictive Control
LI Dong-Mei1,2 and WANG Zheng-Ou1
1 Institute of Systems Engineering, ...