نتایج جستجو برای: dimensionality reduction artificial neural networks anns

تعداد نتایج: 1309642  

Journal: :journal of medical signals and sensors 0
monire sheikh hosseini maryam zekri

image classification is an issue which utilizes image processing, pattern recognition and classification methods. automatic medical image classification is a progressive area in image classification and it expected to be more developed in the future. due to this fact that automatic diagnosis which use intelligent methods such as medical image classification can assist pathologists by providing ...

Hassan Aghabarati, Mohsen Tabrizizadeh

This paper presents the application of three main Artificial Neural Networks (ANNs) in damage detection of steel bridges. This method has the ability to indicate damage in structural elements due to a localized change of stiffness called damage zone. The changes in structural response is used to identify the states of structural damage. To circumvent the difficulty arising from the non-linear n...

2009
LEANDRO S. MACIEL ROSANGELA BALLINI

Neural Networks are an artificial intelligence method for modeling complex target functions. For certain types of problems, such as learning to interpret complex realworld sensor data, Artificial Neural Networks (ANNs) are among the most effective learning methods currently know. During the last decade they have been widely applied to the domain of financial time series prediction and their imp...

2003
Jihan Zhu Peter Sutton

The first successful FPGA implementation [1] of artificial neural networks (ANNs) was published a little over a decade ago. It is timely to review the progress that has been made in this research area. This brief survey provides a taxonomy for classifying FPGA implementations of ANNs. Different implementation techniques and design issues are discussed. Future research trends are also presented.

2000
W. B. Lyons E. Lewis

Some of the significant recent advances in the field of artificial neural networks (ANNs) applied to optical fibre sensors are reviewed. Particular attention is given to the use of ANNs in the enhancement of the performance of existing single point sensors, two-and three-dimensional measurements and developments in multipoint sensors and sensor arrays.

Journal: :آب و خاک 0
حق وردی حق وردی محمدی محمدی محسنی موحد محسنی موحد قهرمان قهرمان افشار افشار

abstract soil salinity within plant root zone is one of the most important problems that cause reduction in yield in agricultural lands. in this research, salinity in soil profile was simulated in tabriz irrigation and drainage network using saltmod and artificial neural networks (anns) models. based on initial spatial distribution of salinity in soil profile, studying area was divided to 4 dif...

2006
Ling Wang Hongjin Sun Dezhong Yao

Artificial Neural Networks (ANNs) which are derived from Biological Neural Networks (BNNs) are enhanced by many advanced mathematical techniques and have become powerful tools for solving complicated engineering problems. Integrating BNNs with mature ANNs is a very effective method of solving intricate biological problems and explaining neurophysiological data. In this paper we propose a neural...

2014
Dalius NAVAKAUSKAS

An analytical review of recent publications in the area of digital speech signal processing is presented. The aim of the given paper is the analysis of these publications, where Artificial Neural Networks (ANNs) were successfully employed. Numerous methods of ANNs employment are discussed due to identify when and why they are reliable alternative to the conventional adaptive signal processing t...

In recent years, artificial neural networks (ANNs) have become one of the most promising tools in order to model complex hydrological processes such as the rainfall-runoff process. In many studies, ANNs have demonstrated superior results compared to alternative methods. ANNs are able to map underlying relationship between input and output data without prior understanding of the process under in...

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