Artificialneuralnetworks相关论文
Parameter estimation of continuous variable quantum key distribution system via artificial neural ne
Continuous-variable quantum key distribution (CVQKD) allows legitimate parties to extract and exchange secret keys.Howev......
The analog photonics link[APL]is widely used in microwave photonics.However,in wideband and multi-carrier systems,the th......
Improved prediction of clay soil expansion using machine learning algorithms and meta-heuristic dich
Soil swelling-related disaster is considered as one of the most devastating geo-hazards in modern history.Hence,proper d......
Artificial neural network techniques to predict the moisture ratio content during hot air drying and
Background: To predict the moisture ratio of Radix isatidis extract during drying. Methods:Artificial neural networks we......
The major factors influencing subsidence factor were comprehensively analyzed. Then the artificial neural network model ......
Through analysis on drillability of frozen soil, it is concluded that the main factors affecting the drillability of fro......
Prediction of Mechanical Properties of 50CrVA Tem-pered Steel Strip for Horn Diaphragm Based on BPAN
50CrVA cold-rolled spring steel strip was used to fabricate the diaphragm of the automotive horn.The material parameters......
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Accurate river flow forecasting is an important asset for stream and reservoir management, being often translated into s......
It is hard to make a decision on early stage field development planning with limited reservoir data.To planning Enhanced......
An integrated rainfall-runoff model based on BP and Xinanjiang model:Application to the upper Huaihe
A hybrid rainfall-runoff model that integrates artificial neural networks (ANNs) with Xinanjiang (XAJ) model was propose......
构建了增压柴油机瞬态工况全程仿真平台，为瞬态工况下增压柴油机排放控制策略制订提供了研究手段。提出了ETC典型工况建模思想，并引......
An artificial neural network approach for modelling weed emergence dynamics: the case of Avena fatua
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当前室内可见光通信系统大多考虑接收机静止的情况, 无法适用于日益增多的移动设备。为了解决可见光通信系统中移动接收机的解调问......
本文提出了一种多尺度补全卷积神经网络(MsiNet),用于光学相干层析(OCT)视网膜图像的分层。该网络充分利用了人眼视觉特性和视网膜......
In laser-pointing-related applications, when only the centroid of a laser spot is considered, then the position and angu......
Artificial neural networks based estimation of optical parameters by diffuse reflectance imaging und
Optical parameters (properties) of tissue-mimicking phantoms are determined through nonin-vasive optical imaging. Object......
The analog photonics link (APL) is widely used in microwave photonics. However, in wideband and multi-carrier systems, t......
Predicting the dynamic modulus of asphalt mixtures containing recycled asphalt shingles using artifi
The hot mix asphalt(HMA)containing recycled asphalt shingles(RAS)are substantially different in composition and prop......
Artificial neural networks (ANN) are an information-processing method of a simulation of the structure for biologica......
We propose the deep Lagrange method(DLM),which is a new optimization method,in this study.It is based on a deep neural n......
采用人工神经网络较强的非线性映射能力和学习能力，提出基于人工神经网络的高速公路软土地基最终沉降量的预测新方法。本方法利用实......
基于人工神经网络原理，构筑深基坑桩排支护设计及地表沉降的多级神经网络，对深基坑桩排支护设计的参数进行设计和优化，对地表沉降进行......
阐述了椭球单元网络的原理及其结构，研究了网络权重初始化方法和网络的训练算法，借助这种高阶网络泛化的有界性，针对大型旋转机械多故......
提出了一种用于短期电力负荷预报的模糊神经网络方法，该方法可以直接由模糊信息预测出未来一天或一周的各小时负荷，文中通过实际算例......
提出了运用神经网络对模拟IC进行芯片合格分类和故障检测的方法.通过BP型神经网络,运用误差反向传播算法,对CMOS运算放大器输入脉......
住房销售率是开发商最为关心的问题之一.多种不确定因素的影响为准确的预测销售率带来困难.人工神经网络能够模拟人脑的思维过程,......
介绍了人工神经网络的基本原理，建立了采煤工作面基本顶分级与支护强度确定，底板分类与支柱底座选型的人工神经网络模型，并通过邻域相......
