[PDF] Top 20 Classification of electroencephalogram signals using artificial neural networks
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Classification of electroencephalogram signals using artificial neural networks
... analysis of results obtained (Table VI, ...study of new ways of processing EEG's to apply to de entry of ...signal of one electrode so this may have led to obtaining the poor results ... See full document
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Using Artificial Neural Networks to generate trading signals for crude oil, copper and gold futures
... factors of an Arbitrage Pricing Model for various ...direction of daily price changes of S&P 500 futures and Manfred Steiner and Hans-Georg Wittkemper (1997) apply an ANN to portfolio ... See full document
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Clustering and artificial neural networks: Classification of variable lengths of Helminth antigens in set of domains
... proteins of different lengths in number of amino acids that can be presented to a fixed number of inputs Artificial Neural Networks (ANNs) speel-out classification is ... See full document
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VOICE RECOGNITION USING ARTIFICIAL NEURAL NETWORKS AND GAUSSIAN MIXTURE MODELS
... diagram of a typical voice and speaker recognition system is shown in Figure ...voice of individual speakers with each speaker providing specific sets of utterances through a microphone terminal or ... See full document
10
Digital soil mapping using reference area and artificial neural networks
... recognition of soil classes in areas where pedological surveys are not ...aim of this study was to obtain a digital soil map using artificial neural networks (ANN) and ... See full document
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COMPARISON BETWEEN ARTIFICIAL NEURAL NETWORKS AND MAXIMUM LIKELIHOOD CLASSIFICATION IN DIGITAL SOIL MAPPING
... use of ANNs for the prediction of soil class was described by Chagas et ...efficiency of this approach in digital soil ...lack of studies involving digital soil mapping in Brazil, and mainly ... See full document
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FLORISTIC DIVERSITY AND EQUITABILITY IN FOREST FRAGMENTS USING ARTIFICIAL NEURAL NETWORKS
... establishment of practical criteria for the characterization and classification of sites for the assessment of environmental impacts and recovery of degraded ...efficiency of the ... See full document
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Prediction of soil shear strength parameters using artificial neural networks
... interval of confidence could be ...soil classification and mechanical behavior were consistent with each other, for instance, thereby avoiding the cases where cohesionless soils were classified as ... See full document
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Prediction of Electrochemical Machining Process Parameters using Artificial Neural Networks
... Artificial neural networks (ANNs), as one of the most attractive branches in artificial intelligence, has the potential to handle problems such as modeling, estimating, prediction, ... See full document
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Faults Classification of a Scooter Engine Platform Using Wavelet Transform and Artificial Neural Network
... The neural network using a multiplayer perception classifier with error back propagation (BP) algorithm based on supervised learning rule is applied for training and testing the classifier in the present ... See full document
6
Crackle and wheeze detection in lung sound signals using convolutional neural networks
... challenges of applying our proposed method to the classification of lung ...problem of fitting different sized inputs into a mini-batch without zero padding to avoid potential ...use of ... See full document
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Recognition and classification of White Wholes (WW) grade cashew kernel using artificial neural networks
... view of the cashew kernel and (ii) SmartPC used to capture front view of the cashew kernel, in a color matching cabinet with a proper control of lighting intensity under Artificial Daylight ... See full document
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Publicações do PESC Bus Line Trajectories Classification Using Weightless Neural Networks
... literature of machine learning and knowledge discovery from geographical location ...availability of data of this kind due to the ubiquity of sensors supporting its ...collection of GPS ... See full document
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Medical Drill Wear Classification Using Servomotor Drive Signals and Neural Networks
... Complexity of wear process in industrial applications motivated many researchers to use different types of computational intelligence algorithms, primarily artificial neural networks, ... See full document
5
Analysis of forecasting capabilities of ground surfaces valuation using artificial neural networks
... power signals were monitored to track the phenomena resulting from the grinding process of the workpieces used in the experimental ...These signals also served as the basis that originated the ... See full document
8
Detection of pore space in CT soil images using artificial neural networks
... suggested using thresholds for typical and critical ...limit of the critical region for each individual im- age as the average of the lower maximum and minimum be- tween the two maxima in the ... See full document
10
Using Autotagging for Classification of Vocals in Music Signals
... Modern society has drastically changed the way it consumes music. During these last recent years, listeners have become more demanding in how many songs they want to have accessible and require to access them faster than ... See full document
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ESTIMATION OF FUEL CONSUMPTION IN AGRICULTURAL MECHANIZED OPERATIONS USING ARTIFICIAL NEURAL NETWORKS
... develop artificial neural networks for the estimation of tractor fuel consumption during soil preparation, according to the adopted ...number of layers and neurons varied to form ... See full document
12
Application of multivariable control using artificial neural networks in a debutanizer distillation column
... on neural identification of a mutivariable input- mutivariable output (MIMO) ...control of the product taking away from the top of the tower is affected by the Outflow Control (FIC-100) and ... See full document
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Lesion Classification in Mammograms Using Convolutional Neural Networks and Transfer Learning
... As mentioned before, three different pre-trained models were used in this work: CNN-F, CNN- M and Caffe. Table 1 presents the differences between each model. In Convolutional Layers, the ’num×size×size’ set indicates the ... See full document
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