[PDF] Top 20 Estudio de un rodamiento magnético activo axial mediante simulaciones de elementos finitos
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Automated epileptic seizures detection using multi-features and multilayer perceptron neural network
... several automated epileptic seizure detection methods have been ...the automated seizure detection procedure for a long dura- tion of EEG recordings was initiated ...artificial ... See full document
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Automated Epileptic Seizures Detection and Classification
... signals using transfer learning, semi supervised learning and TSK fuzzy system ...proposed Epileptic focuses localization using discrete wavelet transform based on interictal intracranial EEG ...for ... See full document
34
Selecting Statistical Characteristics of Brain Signals to Detect Epileptic Seizures using Discrete Wavelet Transform and Perceptron Neural Network
... artificial neural networks [19, 20]. Artificial neural networks are simply applicable to problems with no algorithmic solution, a complex algorithmic solution, and problems that are simple for people but ... See full document
18
Deep Learning For Anticipation Of Cardiovascular Disease: A Practical Approach
... Recurrent Neural Network (RNN) [12] to revise the memorization of standard feed forward neural network, which extends standard feed forward by adding internal ...Memory Network (LSTM), ... See full document
19
Comparative Analysis of Classification Algorithms on Different Datasets using WEKA
... A multilayer feed-forward neural network Each layer is made up of ...the network correspond to the attributes measured for each training ...of neural network and reduce the ... See full document
188
An Effective Intelligent Self Construction Multilayer Perceptron Neural Network
... Artificial Neural Networks (ANNs) are one of the most effective, flexible, powerful and attractive techniques used for classification ...as, neural nets, neurocomputers, and parallel distributed processing ... See full document
19
Hybrid feature extractor for harlequin ladybird identification using color images
... geometrical features can be performed. The primary geometrical features are area, perimeter, major axis length and minor axis length of the ...geometrical features are area ratio and aspect ... See full document
14
Novel Ensemble Neural Network Models for better Prediction using Variable Input Approach
... Artificial Neural Network (ANN) models, namely, Multilayer Perceptron Network (MLPN), Elman Recurrent Neural Network (ERNN), Radial Basis Function Network (RBFN), ... See full document
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APPLICATION OF MULTILAYER PERCEPTRON BASED ARTIFICIAL NEURAL NETWORK FOR MODELING OF RAINFALL RUNOFF IN A HIMALAYAN WATERSHED
... models using watershed-scale geomorphologic parameters to predict surface runoff and sediment losses of the ...artificial neural network (ANN) models, multi layer feed-forward neural ... See full document
5
Image Reconstruction Using Multi Layer Perceptron (MLP) And Support Vector Machine (SVM) Classifier And Study Of Classification Accuracy
... the Multi-Layer Perception (MLP), utilizing the sigmoid enactment capacity of ...typical multilayer perceptron (MLP) network consists of a set of source nodes forming the input layer, one or ... See full document
8
A Neuro Based Software Fault Prediction with Box Cox Power Transformation
... In this paper we transform the discrete integer-valued data which denote the cumulative number of software faults detected in software system testing to the Gaussian data by the Box-Cox transform. Next we input the ... See full document
5
Clustering of heterogeneous precipitation fields for the assessment and possible improvement of lumped neural network models for streamflow forecasts
... Kohonen neural network employed as the clustering al- gorithm in this study possesses some amount of ...Kohonen network) may be less demand- ing in terms of computing requirements than more ... See full document
13
An innovative method to forecasting the load with the help of Multilayer Perceptron Neural Network
... Load forecasting have been a significant area of research as well as it has been a critical problem in planning and operation of electric power generation. In order to predict electrical load, the technique load ... See full document
6
Efficiency of Multilayer Perceptron Neural Networks Powered by Multi Verse Optimizer
... artificial neural networks (ANNs) have considerable power to solve problems in wide range of ...the perceptron, as a building block, sophisticated structures of ANNs can be ... See full document
13
A Survey on Speech Recogntion in Indian Languages
... Dharun and Karnan, 2012 [22] developed a system for voice recognition in Tamil word and numeral using Mel-Frequency Cepstral Coefficients (MFCC) and Dynamic Time Warping (DTW). Vimala and Krishnaveni [23] present ... See full document
77
A Novel Biometric Authentication System using Keystroke Dynamics and Optimized Multilayer Perceptron Neural Network
... system using keystroke dynamics and it is quickly trained using a recently developed sports-based optimization technique known as most valuable player algorithm (MVPA) ... See full document
11
Detection of Epileptic Seizures and Efficient De Noising In Speech Auditory Brain Waves
... The detection of epileptic activity is, therefore, a very demanding process that requires a detailed analysis of the entire length of the EEG ...an automated classification of EEG signals for the ... See full document
10
An Application of ANN Model with Bayesian Regularization Learning Algorithm for Computing the Operating Frequency of C-Shaped Patch Antennas
... multilayered perceptron (MLP) has been designed to compute the operating frequencies of ...ANN network using bayesian regularization (BR) learning algorithm, the operating frequency values of 144 ... See full document
111
A GENETIC ALGORITHM OPTIMIZED MULTI-LAYER PERCEPTRON FOR SOFTWARE DEFECT PREDICTION
... Various endeavours have been made to prevent the gradient descent algorithm from becoming trapped in local minima as the training of the network advances. Genetic Algorithms (GAs) normally evade local minima via ... See full document
17
Support Vector Machine to predict the discharge coefficient of Sharp crested w-planform weirs
... equations, Multilayer Perceptron Networks are the common types of ANN that are widely used in the research ...trained using back propagation ... See full document
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