Artificialneuralnetwork相关论文
目的:建立可预测Ⅱ~Ⅲ期胃癌患者淋巴结转移的神经网络模型，并探讨其预测价值。方法:病例纳入标准：（1）经病理确诊为Ⅱ~Ⅲ期（第8版AJCC分......
Research and applications of artificial neural network in pavement engineering:A state-of-the-art re
Given the great advancements in soft computing and data science,artificial neural network(ANN) has been explored and app......
With the accelerated warming of the world, the safety and use of Arctic passages is receiving more attention. Predicting......
基于变形温度250～400℃和应变速率0.001～1 s-1条件下的铸态AZ80镁合金的热压缩试验数据,建立了基于应力位错关系和动态再结晶动力学......
Analyzing uncertainties involved in estimating collapse risk with and without considering uncertaint
In the present study, modified Ibarra, Medina and Krawinkler moment-rotation parameters are used for modeling the uncert......
Improvement of oxidation resistance of Nb–Ti–Si based alloys with additions of Al, Cr and B at diffe
The effects of Cr, Al and B addition on the microstructure and high-temperature oxidation behaviors (at 1200, 1250 and 1......
Hybrid artificial neural networks and analytical model for prediction of optical constants and bandg
The aim of this study is to develop a reliable method to determine optical constants for 3D-nanonetwork Si thin films ma......
Hand Gesture-based Artificial Neural Network Trained Hybrid Human-machine Interface System to Naviga
Individuals with cerebral palsy and muscular dystrophy often lack fine motor control of their fingers which makes it dif......
...
Analyzed the rule of the Water Flowing Fractured (WFF) zone\'s development during the fully mechanized top coal caving......
In the goal optimization and control optimization process the problems with common artificial neural network algorithm a......
According to the nonlinear and time-dependent features of the ventilation systems for coal mines, a neural network metho......
...
Risk prediction models for biochemical recurrence after radical prostatectomy using prostate-specifi
...
Predicting the plant water quality parameters using conventional experimental techniques is a timeconsuming step and is ......
The Prediction of Adhesive Failure Between Aggregates and Asphalt Mastic Based on Aggregate Features
The interface stripping between aggregates and asphalt mastic deteriorates the performance of asphalt mixture,causing di......
Field-effect transistors are deemed as the fundamental building blocks for the applications of the state-of-the art elec......
Prediction of Water Level and Salinity of Lakes by Using Artificial Neural Networks, Case Study: Lak
Urmia Lake is the 20st largest lake in the world and the second salt lake of the World according to its high salinity.Th......
In recent years, immune genetic algorithm (IGA) is gaining popularity for finding the optimal solution of non-linear opt......
Modeling for 2D Compressor Cascade Loss,Deviation and Range of Incidence Based on the Numerical Meth
The flow field in a compressor cascade is very complex due to the highly three-dimensional,turbulent and viscous effects......
A Novel Wind Power Generation Capacity Prediction Technique Based on Optimal Combination Forecasting
In order to predict the wind power generation capacity accurately,an optimal combination forecasting technique combining......
A damage detection method for beam-type structures using ratio of natural frequency change and neural networks is propos......
A New Hybrid Simulation Approach to Structural Reliability Analysis Using Uniform Design, ANN Meta-m
A new hybrid simulation method for structural reliability analysis is proposed which combines uniform design (UD) techni......
This investigation develops an artificial neural network (ANN) algorithm to identify aeroelastic parameters of cable-sup......
Grape is one of the four fruits in the world,the cultivation area and production has been ranked first in the world....
Application of surface-enhanced laser desorption/ionization time-of-flight mass spectrometry coupled
...
Piezoelectric actuators have lots of superior performance such as physical unlimited resolution,high stiffness response ......
Serum Protein Fingerprinting Coupled with Artificial Neural Network Model in Diagnosis of Schizophre
...
Can artificial intelligence help to predict the postoperative complication after gastric cancer surg
...
Performance comparison of artificial neural network and logistic regression model for differentiatin
Purpose: To compare the diagnostic performances of artificial neural networks (ANNs) and multivariable logistic regressi......
...
Application of experimental design and artificial neural networks in optimization of PCR amplificati
...
A way to predict retention indices (RI) from component structures was investigated.In contrast to work already published......
There are plenty of researches on the relationship between urban development and its environmental effects.Some research......
机动车尾气对环境的危害日益加重,机动车尾气排放浓度的检测对大气污染治理具有重要意义.设计了基于非分散紫外的机动车尾气NO、NO......
固着磨料工艺主要针对某空间相机的高精度平面折反镜而开发，分别从微观结构的仿真计算和人工神经网络两个角度对此工艺加工碳化硅反......
为实现水彩笔油墨的准确分类,采用红外光谱法对3种品牌15个系列的60个水彩笔油墨样品进行了检验。经过平滑、校正等预处理后,利用......
实验参数的优化调整在冷原子实验中是最基础且最重要的工作,优良实验结果的获得离不开实验参数的不断优化。提出了一种基于人工神......
提出一种基于人工神经网络(ANN)和粒子群优化 (PSO) 的半导体激光器参数反向设计方法。利用由传统数值仿真方法计算出的激光器功率......
利用Nd:YAG激光器、OceanHR2000 ICCD光谱仪建立激光诱导击穿光谱(LIBS)实验系统，设置合理的实验参数得到土壤样品LIBS数据，利用基于......
激光三维铣削是在单层激光铣削基础上，逐层加工形成的，因此，单层铣削深度将决定整个三维铣削层质量。针对激光铣削中影响因素多且存在......
外界温度变化与光纤应变都会导致光纤布拉格光栅(FBG)的中心波长发生偏移,由此引起FBG传感器在测量时的温度与应变交叉敏感问题。......
通过测量光热振荡周期可以检测出CaF_2光学微谐振腔腔体与环境之间的热耗散率,然而多个振荡周期与热耗散率呈非线性关系,无法利用......
Diagnosis of pancreatic carcinoma based on combined measurement of multiple serum tumor markers usin
...
Design and development of a machine vision system using artificial neural network-based algorithm fo
Coal is heterogeneous in nature,and thus the characterization of coal is essential before its use for a specific purpose......
以亚共晶A1-7Si合金为研究对象,基于Matlab神经网络工具箱开发了铝合金性能和组织关系预测程序,获得了高精度的材料性能与组织特征......
Comparison of different sampling strategies for debris flow susceptibility mapping:A case study usin
The quality of debris flow susceptibility mapping varies with sampling strategies.This paper aims at comparing three sam......
Building Financial Time Series Prediction with Neural Genetic SystemAnalysis of Statistical and Econ
This paper examines relationships between traditional summary statistics used for an economic forecast evaluation an......
