artificial neural networks applications
Overview of Artificial Neural Networks Applications in Groundwater Studies
... However, if the available input data are sparse, it is important to use alternative methods, which start by using real or synthetic observations where the number of inputs can be reduced. Using this approach, Mohammadi ...
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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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Applications of artificial neural networks in financial market forecasting
... This thesis evaluates the utility of Artificial Neural Networks (ANNs) applied to financial market and macroeconomic forecasting. In application, ANNs are evaluated in comparison to traditional ...
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Applications of artificial neural networks (ANNs) to rotating equipment
... ANNs have many advantages in modelling, simulation and control of different kinds of rotating equipment compared with analytical methods. They are quite suitable to learn various types of information. Limited knowledge ...
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Combat aircraft effectiveness prediction by artificial neural networks
... Pratt & Belton (1999, p. 47) classified MCDM problems in four groups - choosing a single best option, classifying options, ranking options and selecting a preferred portfolio — of which weapon systems acquisition can ...
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Advanced Applications Of Neural Networks And Artificial Intelligence: A Review
... Neural Networks can result in such devices which are able to detect faults in those areas where fault detection is difficult for human ...machine. Neural networks can detect patterns so it can ...
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Comparison between mathematical models and artificial neural networks for prediction of sorption isotherm in rough rice
... 2008). Artificial neural networks have been used in some industrial applications such as: performance prediction of an industrial paper dryer (Huang and Mujumdar, 1995), pre- dictive control ...
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Miniaturization of a PIFA Antenna for Biomedical Applications Using Artificial Neural Networks
... Artificial Neural Network (ANN) consists of layers. Each layer is a group of single units named artificial neurons. The artificial neurons of different layers are connected. Every connection entering a neuron has a ...
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Artificial Neural Networks architectures for stock price prediction: comparisons and applications
... The machine learning approach to the latter prob- lem has been declined in several forms, especially dur- ing recent years, also aiming to find an effective way to predict sudden financial crashes as, e.g., the one ...
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A Study on Effective Algorithm for Medical Decision Making System
... the neural diagnostic system. Then, paradigm of artificial neural networks is shortly introduced and the main problems of medical data base and the basic approaches for training and testing a ...
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Artificial Neural Networks
... In many ANN applications (e.g., signal processing and language learning), the train- ing sample is not fixed but constantly expands with new data. In such cases, off-line estimation may not be feasible, but on-line ...
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A. Artificial Neural Networks
... enhance artificial neural networks methods to support the prediction in stock market ...a neural network model for technical analysis of stock market, and its application to a buying and ...
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Title: CLASSIFICATION ON BREAST CANCER USING GENETIC ALGORITHM TRAINED NEURAL NETWORK
... Abstract— Artificial neural networks have been in the position of producing complex dynamics in control applications over the last decade, especially when they are linked to ...the ...
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Prediction of Stock Prices Using Artificial N...
... defines artificial neural networks, section III describes the applications of neural networks, section IV shows the characteristics of artificial neural ...
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On asymptotic normality when the number of regressors increases and the minimum eigenvalue of X'X/n decreases
... applications are: (i) the statistical interpretation of neural networks (White, 1989) as used in robotics, navigation aids, speech interpretation, and other artificial intelligence appli[r] ...
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Applications of Artificial Neural Networks in Power Systems: A Review
... number of nodes per layer. Most applications use the three layer structure with a maximum of a few hundred input nodes. The hidden layer is usually about 10% the size of the input layer. In the case of target ...
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Hybrid Network of Neuro Fuzzy based Decision Tool for Stock Market Analysis
... Increasingly applications of artificial intelligence (AI) techniques, mainly artificial neural networks, have been applied to technical financial forecasting as they have the ability to ...
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A survey of artificial neural network in wind energy systems
... of artificial neural networks used in wind energy systems, identifying the methods most employed for different applications and demonstrating that Artificial Neural ...
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Applications of Soft Computing in Civil Engineering: A Review
... Artificial Neural Networks (ANNs) are computational models designed to mimic the learning abilities of a human ...a neural network as a massively parallel distributed processor made up of ...
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A Review of Unsupervised Artificial Neural Networks with Applications
... unsupervised neural networks. In [42], two different approaches, neural network and fuzzy clustering used in segmentation of MRI images of human brain were compared from different perspectives, some ...
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