[PDF] Top 20 An Evolutionary Approach: Analysis of Artificial Neural Networks
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An Evolutionary Approach: Analysis of Artificial Neural Networks
... real neural networks, and study behavior and control in animals and machines, but also there are ANN models which are used for engineering purposes, such as pattern recognition, forecasting, and data ... See full document
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COMPARATIVE ANALYSIS OF THE PERFORMANCE OF ARTIFICIAL NEURAL NETWORKS (ANNs) AND AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) MODELS ON RAINFALL FORECASTING
... effective approach for analyzing time series ...in analysis and ...2011). Artificial Neural Networks (ANNs) is an emerging computationally powerful techniques with a very high degree ... See full document
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Approach for Diabetic Retinopathy Analysis using Artificial Neural Networks
... A neural network model was used for learning task and tested by k fold cross ...Our approach is to analyze DR image by using one of the Multilayer perception neural network, Support vector machine, ... See full document
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Medical imaging analysis with artificial neural networks
... Feed-forward networks are particularly suitable for applications in medical imaging where the inputs and outputs are numerical and pairs of input/output vectors provide a clear basis for training in a supervised ... See full document
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DEM-based analysis of morphometric features in humid and hyper-arid environments using artificial neural network
... robust approach using artificial neural networks in the form of a Self Organizing Map (SOM) as a semi-automatic method for analysis and identification of morphometric features in two ... See full document
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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 networks, ... See full document
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Combat aircraft effectiveness prediction by artificial neural networks
... Although the linear regression yields the predicted effectiveness of unforeseen aircraft, some of them exceed one that is the maximum operational effectiveness, and some are negative which are beyond the minimum ... See full document
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Data driven Time Series Based Prediction in Smart Home Appliance Energy Consumption
... adaptive artificial neural networks in building energy ...statistical analysis, was found able to improve the applicability of ANNs in modeling and predicting building energy ... See full document
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Prediction of CSO Chamber Level Using Evolutionary Artificial Neural Networks
... an evolutionary strategy algorithm [17] to automatically select the optimum ANN input structure and parameter set for the specific training data and forecast horizon ...the evolutionary strategy algorithm ... See full document
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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 ... See full document
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Analysis of cardiovascular (cvd)/coronary heart diseases(chd) using artificial neural network (ann)
... days. Artificial Neural Network , coupled with Data mining , is a very exciting field ...sector, Neural Network /Artificial neural networks, plays a very important ... See full document
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Contribution of Artificial Neural Networks to the Identification and Detection of Targets Concerning Mobility on Remote Sensing Images
... Targets identification on remote sensing images depends essentially on efficiency of the followed classification and analysis methods. In this context, this paper is to present a system for detection and ... See full document
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Steganography Detection using Functional Link Artificial Neural Networks
... new approach known as Steganography detection using Functional Link Artificial Neural Networks that deals with neural network models that are able to detect Steganography content coded ... See full document
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Intrusion Detection System Using Hybrid Approach by MLP and K-Means Clustering
... introduce Neural Network Committee Machine (NNCM), it consist Input Reduction System which is based on Intrusion Detection System and Principal Component Analysis (PCA) and these are represented by three ... See full document
5
Artificial Neural Networks Approach for Solving Stokes Problem
... These terms employ a neural network whose weights and biases are to be adjusted in order to deal with the mini- mization problem. Note at this point that the problem has been reduced from the original constrained ... See full document
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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 neural ... See full document
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An approach of curing Depression by Artificial Neural Networks (ANN)
... the neural network if the links between any of the nodes get disrupted then there can also be a faulty message transmission; leading to erroneous results but damaged artificial neurons can be readily ... See full document
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Abstract
... Artificial neural network (ANN) analysis is a sophisticated method of data analysis which is based on emulating the brain’s way of ...working. Neural networks exhibit the way in ... See full document
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Artificial Neural Networks Approach in Microwave Filter Tuning
... the artificial neural network. Algorithms based on the artificial neural networks require training process, before they are used to perform the tasks they are designed for (like a human ... See full document
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A hybrid approach based on arima and artificial neural networks for crime series forecasting
... In recent times, there is the growing manifestation among stake holders that crime cannot be controlled exclusively through the action of the police and criminal justice administrators. Always the primary target of the ... See full document
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