Neural networks and application
Application of neural networks in evaluation of technological time
... It is alm o st im p o ssib le to esta b lish a mathematical model of the polishing rate due to a num ber o f influential parameters, which will be described later. Therefore, one o f the goals o f this p a p e r, w h ich ...
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Application of Neural Networks in Forecasting Methods
... of neural networks is very dynamic and vast so that the opportunities for future research exist in many aspects, including data pre-processing and representation, architecture selection, and ...Artificial ...
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Application of Neural Networks with CSD Coefficients for Human Face Recognition
... Artificial Neural Networks (ANN) classifiers approaches coupled with appropriate feature extraction for recognition of human ...the application of ANN in various fields of engineering, science, ...
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Convolutional neural networks: an overview and application in radiology
... convolutional neural network (CNN), a class of artificial neural networks that has been a dominant method in computer vision tasks since the astonishing results were shared on the object recognition ...
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Application of Neural Networks in Character Recognition
... artificial neural network theories have shown good capabilities in performing character ...the application of neural networks in recognizing characters from a printed script is ...
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Quantum Inspired Neural Networks with Application
... back-propagation neural networks (QBP) model are pro- ...practical application, the learning algorithm is deducted in detail and the implementing scheme is ...Two application examples are ...
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Application of Artificial Neural Networks in Civil Engineering
... Neural networks have gained a broad interest in civil engineering ...systems. Application areas in Civil Engineering are ...The application of ANN is used in tidal level forecasting to ...
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Convolutional Neural Networks in Application to Segmentation of Fingerprint Images
... by neural network, fingerprint image is previously partitioned onto overlapping regions of a certain bigger size with an offset step equal to the block size (Figure 4, ...to neural network and blocks of the ...
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Application of deep neural networks for security analysis of digital infrastructure componentsa
... The availability of vulnerabilities in the software components of various devices is one of the most critical problems in the sphere of cyber safety. The "Kaspersky laboratory" points out a trend in its forecast ...
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Application of Artificial Neural Networks in Cold Rolling Process
... artificial neural network (ANN) in order to identify the applied parameters in a cold tandem rolling ...of neural networks are studied in MATLAB ...
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Artificial Neural Networks Application in Duplex/triplex Elevator Group Control System
... where neural network are em bedded into the D uplex/T riplex control algorithm , sim ulations are run for several levels o f interfloor traffic dem and level for the improved D u p le x /T r ip le x c o n tro l s ...
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The Cost Forecasting Application in an Enterprise with Artificial Neural Networks
... Artificial Neural Network (ANN) ...artificial neural network, and the network was asked to yield the amount of production as an ...artificial neural network to determine the amount of production ...
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Application of Artificial Neural Networks for Flood Warning Systems
... The selection of appropriate input variables for proper mapping desired output variables is a very important step to ensure successful application of ANN models in hydrologic processes. Normally, it starts with a ...
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ARTIFICIAL NEURAL NETWORKS – AN APPLICATION TO STOCK MARKET VOLATILITY
... Artificial Neural Networks (ANNs) is a statistical technique under the non-linear regression model, discriminant model, data reduction model and non-linear dynamic systems [Sarle -1994; Cheng and ...
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Secure Outsourced Matrix Computation and Application to Neural Networks
... deep neural networks ...implement neural networks training and evaluation in a two-party computation ...existing neural network to an oblivious neural network by applying a SIMD ...
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Artificial Neural Networks Application in Prediction of Water Quality
... ABSTRACT:Recently artificial neural networks are used increasingly to predict the quality of water. Back propagation algorithm is widely used ANN type. For prediction water sample was collected at four ...
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Direction of Arrival and State of Polarization Estimation Using Radial Basis Function Neural Network (Rbfnn)
... the application of neural networks to handle the computational problem of the DOA estimation step is approached as a mapping problem which is modeled using a Radial Basis Function Network or (RBFN) ...
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Forecasting the yield and direction of the Australian 10 year Commonwealth Treasury Bond using artificial neural networks
... This paper is concerned with the application of artificial neural networks (ANN) to the forecasting of the time series generated by the 10 Year Commonwealth Treasury Bond [r] ...
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Load Frequency Control In Conventional And Distributed generation Power System: A Literature Survey
... the application of concepts such as neural networks, fuzzy logic and genetic algorithms to tackle the difficulties associated with the design of LFC controllers for power systems with nonlinear ...
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CLASSIFICATIONS, ASSESSMENTS AND CHARACTERISTICS AS FACTORS TOWARDS ANALYZING ORGANIZATIONAL KNOWLEDGE
... of neural network is similar to human brain ...proposed neural network has the ability to learning with any application we design an automatic generation of neural networks architecture ...
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