artificial neural networks application
Artificial Neural Networks Application in Prediction of Water Quality
... BP neural network is a typical multilayered structure, it is composed of one input layer, one output layer, and one or more hidden layers and all the layers are interconnected ...
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Artificial Neural Networks Application in Duplex/triplex Elevator Group Control System
... in neural netw orks m odule. In this program, feedforward neural network is used to allocate the calls to the best cars during day period by means o f weight ...
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Fingerprint Recognition with Artificial Neural Networks: Application to E Learning
... proper neural network part of the algorithm and subject to training from exam- ...a neural network that implements a probabilistic Bayesian approach to the estimate of the probability p of a ...the ...
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The Cost Forecasting Application in an Enterprise with Artificial Neural Networks
... the rates of wastage in machines and of maintenance/repair fall and as efficiency and rate of capacity use increase. Maintenance activities are directly related to these parameters. One of the most complex parts of the ...
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Application of Artificial Neural Networks for Flood Warning Systems
... In order to issue reliable and timely flood warnings, river flow forecasting must be performed on a real-time basis. Such timely warnings are particularly critical for urbanized areas confronting frequent occurrences of ...
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Application of Artificial Neural Networks in Weather Forecasting: A Comprehensive Literature Review
... Based Neural Network Model for Weather Forecasting and the results were very encouraging and it is found that the feature based forecasting model can make predictions with high degree of accuracy ...with ...
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Improved real-time bio-aerosol classification using artificial neural networks
... the application of artificial neural networks (ANNs) to real-time analysis of single-particle fluorescence fingerprints acquired using BARDet (a Bio-AeRosol Detec- ...independent neural ...
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Neural networks and non parametric methods for improving real time flood forecasting through conceptual hydrological models
... the application of non-linear time-series models is proposed such as Artificial Neural Networks (ANNs) and the ‘nearest- neighbours’ method, which is a non-parametric regression ...
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Combat aircraft effectiveness prediction by artificial neural networks
... The complexities of weapon system evaluation have driven the search for a simpler or visual decision process. Although many advanced techniques have been developed, most of them are applicable to linear problems, ...
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A. Artificial Neural Networks
... enhance artificial neural networks methods to support the prediction in stock market ...market application or on machine learning algorithms ...a neural network model for technical ...
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Analysis of cardiovascular (cvd)/coronary heart diseases(chd) using artificial neural network (ann)
... the application of ANN. Artificial Neural Network (ANN) has extensive application to biomedical ...systems. Neural networks learn by example, so the details of how to identify ...
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Application of Neural Networks with CSD Coefficients for Human Face Recognition
... using Artificial Neural Networks (ANN) classifiers approaches coupled with appropriate feature extraction for recognition of human ...the application of ANN in various fields of engineering, ...
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On the application and design of artificial neural networks for motor fault detection
... There exist many different ways to view an artificial neural network. From the system engineering point of view, it may be easier to visualize a neural network as the l[r] ...
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On the application and design of artificial neural networks for motor fault detection. II.
... P of the use of artificial neural networks in motor fault detection applications. In Part I1 of this paper, we will discuss how to design an artificial neural network for[r] ...
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Application of Artificial Neural Networks in Order to Predict Mahabad River Discharge
... different networks were prepared using NeuroSolutions V.6.0 software. The neural models included Multilayer Perceptron (MLP), Generalized Feed Forward, Jordan/Elman, Radial Basis Functions (RBF) and ...
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Application of Artificial Neural Networks in Civil Engineering
... Artificial neural networks are computers whose architecture is modeled after the ...An artificial neural network (ANN) is applied to several civil engineering problems, which have ...
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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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IMPROVING BUSINESS RULES MANAGEMENT THROUGH THE APPLICATION OF ADAPTIVE BUSINESS INTELLIGENCE TECHNIQUE
... into account past, present and possible future infor- mation on that asset. Future information can be ex- pectations of individual or market participant. The in- formation technologies let the users find various types of ...
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Application of Artificial Neural Networks in Cold Rolling Process
... on 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 – AN APPLICATION TO STOCK MARKET VOLATILITY
... of neural networks to data analysis is the multilayer perceptron model ...non-linear neural network models that can be used to approximate almost any function with a high degree of accuracy (white ...
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