neural networks-based method
An agent based method for predicting monthly maximum & minimum quote prices
... artificial neural networks (ANNs), researchers and investors are hoping that the market mysteries can be ...artificial neural networks have been popularly applied to finance problems such as ...
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Fuzzy neural networks with genetic algorithm-based learning method
... (ii) Fuzzy sets exhibit well-defined semantics and fully meaningful conceptual entities from building modules that are identified in problem solving (Pedrycz, et al., 2001) (Hans-Jurgen, et al., 2012). The originality of ...
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A Novel Smart Grid State Estimation Method Based on Neural Networks
... The state estimation is used for estimating the power flow solution of different real-time information because of the large number of nodes, few phase measurements, and disability of the system to be hardly provided with ...
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Novel Approaches on Sovereign Credit Ratings
... The model aims to classify the countries as investable or speculative with the Artificial Neural Networks method based on the sovereign credit ratings of the CRAs in terms of short term ...
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STUDY OF PERSONALITY PREDICTION BASED ON HANDWRITING AND SIGNATURE RECOGNITION USING MULTIPLE ARTIFICIAL NEURAL NETWORK AND MULTI-STRUCTURE ALGORITHM
... Handwriting Based on Signature and Digit of Character Using Multiple of Artificial Neural Networks in Personality Identification ...approach based on signature and digit of character of ...
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Neural Models for the Elliptic- and Circular-Shaped Microshield Lines
... alternative method based on artificial neural networks (ANNs) is used to compute accurately the characteristic parameters of the elliptic-shaped microshield lines (ESMLs) and the ...
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Dynamic visual cryptography with Arnolds logarithm using ANN for medical data protection
... secret method of ...Artificial neural networks (ANNs) have been tested to solve many ...A Neural Network is a appliance that is perform to model the way in which the brain performs a work or ...
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Effective Intrusion Detection with a Neural Network Ensemble Using Fuzzy Clustering and Stacking Combination Method
... ensemble method with neural networks is proposed for intrusion detection based on fuzzy clustering and stacking combination ...combination method is used to aggregate the predictions of ...
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Neural Based Routing Method for Alleviating Congestion in Complex Networks
... routing method displays a poor congestion rate if the number of flowing packets increases, we next measure the congestion level of nodes in the computer ...
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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 which ...
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Method of Wireless Sensor Network Data Fusion
... brain, neural network has powerful parallel pro- cessing ability ...computer networks, the most commonly used are BP neural networks and RBF neural networks, and an improved ...
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Predicting Historical Phonetic Features using Deep Neural Networks: A Case Study of the Phonetic System of Proto Indo European
... are based on comparative approaches ...comparative method to estimate the approximate quality of sounds by investigating their outcomes and effects in the descendant lan- ...alternative method for ...
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Fast image recognition of transmission tower based on big data
... convolutional neural networks (Rcnn) convolutional architecture for fast feature embedding (Caffe) to get deep learning of the massive transmission tower images, extract the image characteristics of the ...
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DialogueRNN: An Attentive RNN for Emotion Detection in Conversations
... a method based on recurrent neural networks (RNN) that can cater to these needs by processing the huge amount of avail- able conversational ...
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INTERNETWORKING INDONESIA JOURNAL
... Artificial Neural Network (ANN) or Network Neural (ANN) is one method that has been known for prediction ...The method can also be used to forecast based on the pattern of events in the ...
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Segmentation of Lung Cancer using Mark Region Growing and Median Filter
... Recurrent neural networks in conjunction with advanced image processing procedure as a method which lung cancer diagnosis was performed based on mammogram pictures ...proposed method ...
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UAV 3D formation flight using the relative state space method
... oscillatory neural networks of living organisms that generate motor signals of locomotion the model of a decentralized, autonomous system of interacting agents was ...proposed. Based on this approach ...
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Improved Shape Parameter Estimation in Pareto Distributed Clutter with Neural Networks
... parameter, based on artificial neural networks, was ...The neural method proved to be better than the classic alternative based on Maximum Likelihood Estimates mainly in the ...
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A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis
... • Appropriate weights initialization: The starting point of the algorithm, determined by the initial set of weights, also influences the method convergence speed. Thus, several solutions for the appropriate ...
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Segmentation of Lung Images using Region Based Neural Networks
... which identifies the sets of pixels which are connected and continuous in nature present in the image. This can be done using some threshold based operations. Region growing is an operation, which can be done by ...
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