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Prediction of the effectiveness of rolling dynamic compaction using artificial neural networks and cone penetration test data
soil mechanics rolling dynamic compaction artificial neural networks cone penetration test ground improvement
2018/12/25
Rolling Dynamic Compaction (RDC),which is a ground improvement technique involving non-circular modules drawn behind a tractor,has provided the construction industry with an improved ground compaction...
Welcome to the 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN2017) website. Wearable biosensors are becoming increasingly pervasive. Although many of these device...
Visual Character Recognition using Artificial Neural Networks
text recognition character recognition pattern recognition neural networking artificial intelligence
2015/8/5
The recognition of optical characters is known to be one of the earliest applications of Artificial Neural Networks, which partially emulate human thinking in the domain of artificial intelligence. In...
MAPPING MAJOR CROPPING PATTERNS IN SOUTHEAST ASIA FROM MODIS DATA USING WAVELET TRANSFORM AND ARTIFICIAL NEURAL NETWORKS
MODIS data Croplands Wavelet transform Artificial neural networks (ANNs) Southeast Asia
2014/4/28
Agriculture is one of the most important sectors in the economy of Southeast Asia countries, especially Thailand and Vietnam. These two countries have been the largest rice suppliers in the world and ...
Application of artificial neural networks in modelling of normalised structural steels mechanical properties
Artificial intelligence methods Computational material science and mechanics Artificial neural networks
2009/12/14
Purpose: This paper presents the application of artificial neural networks for mechanical properties prediction of constructional steels after heat treatment.
Design/methodology/approach: On the basi...
Using Artificial Neural Networks and Function Points to Estimate 4GL Software Development Effort
Artificial Neural Networks Function Points 4GL Software Development Effort
2009/12/7
Hie value of neural network modelling techniques in performing complicated pattern recognition and nonlinear estimation tasks has been demonstrated across an impressive spectrum of applications. Softw...
The Buckling Analysis of Axially Loaded Columns with Artificial Neural Networks
Burkulma Ag yapisi egitilmesi Yapay sinir aglari Elastik kolonlar
2009/10/13
The Buckling Analysis of Axially Loaded Columns with Artificial Neural Networks。
Improved Diagnostics Using Polarization Imaging and Artificial Neural Networks
Diagnostics Polarization Imaging Artificial Neural Networks
2009/9/7
In recent years, there has been an increasing interest in studying the propagation of polarized light in biological cells and tissues. This paper presents a novel approach to cell or tissue imaging us...
Control Chart Pattern Recognition Using Artificial Neural Networks
Multilayered Perceptrons Resilient Propagation Backpropagation
2009/7/27
Precise and fast control chart pattern (CCP) recognition is important for monitoring process environments to achieve appropriate control and to produce high quality products. CCPs can exhibit six type...
Forecasting Model for Crude Oil Price Using Artificial Neural Networks and Commodity Futures Prices
Crude Oil Future Price ANN Prediction Models
2010/11/1
This paper presents a model based on multilayer feedforward neural network to forecast crude oil spot price direction in the short-term, up to three days ahead. A great deal
of attention was paid on ...
A Study on a Recognition Method for Specific Motions by Processing Outputs of Artificial Neural Networks with Different Input Signals
control command artificial neural network motion recognition motor paralysis
2009/6/9
This paper studies improvement of the clinical practicality of the control command input method for motor disabled patients using the recognition of specific motions via an artificial neural network (...
Non-destructive evaluation of ceramic candle filters using artificial neural networks
Neural Network Structural Identification Non-destructive Finite Element Methods
2009/2/18
Ceramic candle filters play an important role in coal-based turbine system for a modern power plant. However, after exposure to the high pressure and high temperature in the gas turbine chamber, the e...
期刊信息
篇名
Globally optimal bounding ellipsoid algorithm for parameter estimation using artificial neural networks
语种
英文
撰写或编译
撰写
作者
孙先仿,范跃祖,张飞舟
第一作者单位
北京航空航天大学
刊物名称
International Journal of System Scien...