Neuralnetworks相关论文
The model-driven inversion method and data-driven prediction method are effective to obtain velocity and density from se......
A Rapid Prediction Model of Urban Flood Inundation in a High-Risk Area Coupling Machine Learning and
Climate change has led to increasing frequency of sudden extreme heavy rainfall events in cities,resulting in great disa......
In recent years,addressing ill-posed problems by leveraging prior knowledge contained in databases on learning technique......
Three-dimensional (3D) dia-batic potential energy surfaces(PESs) of thiophenol involving the S0,and coupled 1ππ* and 1......
Design Methods and Strategies for Forward and Inverse Problems of Turbine Blades Based on Machine Le
To study the feasibility of using machine learning technology to solve the forward problem (prediction of aerodynamic pa......
The lack of interpretability of the neural network algorithm has become the bottleneck of its wide application.We propos......
The event-triggered fault accommodation problem for a class of nonlinear uncertain systems is considered in this paper. ......
Framework for TCAD augmented machine learning on multi-I-V characteristics using convolutional neura
In a world where data is increasingly important for making breakthroughs,microelectronics is a field where data is spars......
Neural Network Representations for Studying Gas-Surface Reaction Dynamics:Beyond the Born-Oppenheime
In the past a few years,there has been significant progress in theoretical characterizations of gas-surface reaction dyn......
Function simulation, which is called virtual reality too, is popularly applied to solve uncertain problems. Good perform......
Based on the traditional optimization methods about the pressure control spring of the relief valve and combined with th......
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Rock parameters are the fundamental components of the constitutive law of the wall rock in the diversion tunnel.The dete......
On the basis of fuzzy optimization model, the concept of equivalent error function is introduced to establish a ......
Automated essay scoring aims to score an essay automatically without any human assistance.Traditional methods heavily re......
Keyphrase extraction can provide effective ways of organiz-ing scientific documents.For this task,neural-based methods u......
Cluster analysis is an important part of data mining technology.Various types of clustering algorithms have been propose......
This paper proposes a novel end-to-end neural model to jointly extract entities and relations in a sentence.Unlike most ......
Research on Innovative Screening Tool aid to Artificial Neural Networks for Thermal EOR Methods in H
Thermal EOR methods are mandatory to efficiently develop and optimize production of heavy or extra-heavy oil fields.For ......
Temperature Prediction in Cold Chain Operations by Means of Thermal Image and Artificial Neural Netw
It is known that special care in maintaining the cold chain for perishable goods is essential in order to preserve them....
Central pattern generators(CPGs)play a crucial role for animal locomotion control.They can be entrained by sensory feedb......
The noise effect on the formation and transition of regular spatiotemporal patterns in subexcitable and excitable system......
Passivity criterion for delayed neural networks with various activation functions and uncertain outp
This paper deals with the issue of passivity analysis for delved neural networks with various activation functions and u......
A Smart Forecasting System of Computational Cost of DFT calculations using Machine Learning and Chem
The Density-functional theory(DFT) should be the most popular approach that used in computational physics or computation......
Although fractional calculus has a long history,it has been applied to physics and engineering until recently....
In this work, a neural network (NN) method is developed for pulse duration inferring for an erbium-doped fiber laser at ......
为了解决激光超声检测过程中定量识别表面缺陷深度较困难的问题,提出了一种粒子群(PSO)优化BP神经网络表面矩形缺陷深度定量识别方......
近年来,以神经网络为代表的人工智能技术正向着高速低功耗的方向快速发展。然而,受限于电子器件的固有极限,传统电子神经网络难以......
行人检测是实现智能交通与客流监控的关键技术,深度学习方法训练模型已经在行人检测领域取得了良好的效果。但是当训练样本质量不......
基于人工神经网络,对激光切割镍基合金样本进行了训练函数拟合,以电流、脉宽、切速及离焦量作为输入向量,以挂渣宽度、切缝宽度及......
A novel 3-D temperature field reconstruction method is proposed in this paper, which is based on multiwavelength thermom......
针对小样本条件下深度学习缺陷检测算法识别率较低的问题,提出一种基于双通道生成对抗网络的数据增强方法。由全局鉴别层和局部鉴......
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身份识别是安防系统的一项重要功能。常用的身份识别通过指纹识别、面部特征、虹膜识别等方法实现，但存在设备昂贵、生物特征易被窃......
Acoustic Scene Classification (ASC) is the recognition and categorization of audio data that identifies the environment ......
随着社会不断发展和进步，国民生活水平日益提升，车辆作为重要的代步工具，其数量逐年增多，这就给交通管理带来了巨大的挑战。能否准确搜......
配网带电作业是提高供电可靠性、减少停电损失和保证电网安全的一种重要作业方式。目前，我国的带电作业仍以人工带电作业为主，容易引......
随着中国铁路的载运量和运行速度不断提高，铁路货运零部件有更高的检测要求，因此对零部件进行缺陷检测是生产过程中的关键步骤。无损......
The RRAM-based accelerators enable fast and energy-efficient inference for neural networks.However,there are some requir......
针对Ｈｏｐｆｉｅｌｄ网络模型在存储模式不满足０和１状态的均匀分布及数目对等的条件下存储容量及寻址能力下降的缺点，提出并用光束方向编码光学实现了......
针对风电场风功率预测所需的离地70m、0～4h的超短期风速预报。本文利用中央气象台发布的MM5格点输出的数值预报风速及测风塔实时发......
Dynamic hand gesture recognition is a desired altative means for human-computer interactions.This paper presents a hand ......
In the optimum design of the self-propelled combine gearbox, the knowledge of ANN is applied to overcome slow calculatio......
Artificial neural networks approach in length-weight relation of crayfish (Astacus leptodactylus Esc
本文通过对荣华二采区10...
The leakage of hazardous gases poses a significant threat to public security and causes environmental damage.The effecti......
In recent years,neural networks have become an increasingly powerful tool in scientific computing.The universal approxim......
This paper presents a smoothing neural network to solve a class of non-Lipschitz optimization problem with linear inequa......
We introduce an unsupervised GANbased model for shading photorealistic hair animations.Our model is much faster than pre......
