Multi-Layer Perceptron (MLP) neural network
Speech emotion classification using SVM and MLP on prosodic and voice quality features
... the Multi-Layer Perceptron (MLP) Neural Network, using prosodic and voice quality features extracted from the Berlin Emotional Database, is ...and MLP, which are used to ...
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Identification and Prediction of Internet Traffic Using Artificial Neural Networks
... artificial neural network (ANN) model based on the multi-layer perceptron (MLP) for analyzing internet traffic data over IP ...for network response ...
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Seismic Signal Classification using Multi Layer Perceptron Neural Network
... Seismic waves can be produced by many types of sources. The latter include tectonic, quarry blast, underground nuclear explosions and cultural activities. These seismic waves are detected by seismic monitoring networks ...
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Deep Learning vs Template Attacks in front of fundamental targets: experimental study
... called Multi Layer Perceptron (MLP) and Convolutional Neural Network (CNN), concurrently in front of classical use cases often encountered in the side-channel analysis of ...
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Flow Variables Prediction Using Experimental, Computational Fluid Dynamic and Artificial Neural Network Models in a Sharp Bend
... artificial neural network (ANN) model of multi-Layer perceptron (MLP), two velocities and pressure variables on the channel bed with 90º sharp bend is predicted and ...the ...
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Integrated versus isolated scenario for prediction dissolved oxygen at progression of water quality monitoring stations
... artificial neural networks was developed for prediction of the DO concentration in water of the Johor river ...feed-forward neural network which is introduced in this ...was multi-layer ...
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WEATHER FORECASTING USING SOFT COMPUTING TECHNIQUES
... and Multi-Layer Perceptron (MLP) Artificial Neural Network (ANN) models were used to analyze metrological data sets obtained from the metrological ...the MLP ANN model ...
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International Journal of Emerging Technology and Advanced Engineering
... different neural network models like Jordan Elman ,MLP (Multi layer perceptron), time lag recurrent network and self organizing feature map are trained for multi ...
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1. Performance evaluation of the neural network diagnostic system for the re-emerging arboviral infection -dengue
... a Multi Layer Perceptron (MLP) network with three initial layers, namely – Input layer, Output layer and one hidden ...input layer consists of the input parameters ...
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APPLICATION OF MULTILAYER PERCEPTRON BASED ARTIFICIAL NEURAL NETWORK FOR MODELING OF RAINFALL RUNOFF IN A HIMALAYAN WATERSHED
... artificial neural network (ANN) models, multi layer feed-forward neural network using Levenberg–Marquardt learning algorithm (LMFF) and radial basis function (RBF) models for ...
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Parkinson’s Disease Detection Using Biogeography-Based Optimization
... a Multi-layer Perceptron Neural Network (MLP) with the Biogeography-based Optimization (BBO) to classify PD based on a series of biomedical voice ...optimal MLP parameters ...
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Improved Adaptive Signal Power Loss Prediction Using Combined Vector Statistics Based Smoothing and Neural Network Approach
... In this work, vector order statistics filters based preprocessing technique have been exploited to enhance adaptive trend prediction of stochastic noisy signal power data using ANN model. The proposed predictive approach ...
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A Multilayer Perceptron based Ensemble Technique for Fine grained Financial Sentiment Analysis
... a Multi-Layer Perceptron (MLP) network for financial sentiment ...tional Neural Network (CNN), Long Short Term Memory (LSTM) and Gated Recur- rent Unit ...
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Electrolarynx Voice Recognition Utilizing Pulse Coupled Neural Network
... In this paper, electrolarynx speech recognition system consists of Fast Fourier Transform (FFT), Pulse Couple Neural Network (PCNN), and Multi Layer Perceptron (MLP). Block ...
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An Improved Artificial Intelligence Based on Gray Wolf Optimization and Cultural Algorithm to Predict Demand for Dairy Products: A Case Study
... series neural network and improved multi-layer perceptron neural network (MLP) with novel meta-heuristic algorithms in order to obtain best prediction of dairy ...
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System for automatic crate recognition
... Multi-Layer Perceptron neural network Multi-Layer Perceptron neural network (MLP) is confi gured by the number of input and output neurons, by ...
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Electrochemical Discharge Machining – An Overview
... the neural network parameters and use the trained model to predict the future transportation carbon ...A Multi-layer perceptron is proposed to infer the real-time carbon emission in ...
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Comparison between Multi Layer Perceptron and Radial Basis Function Networks for Sediment Load Estimation in a Tropical Watershed
... River suspended sediment load is a principal parameter in reservoir management and can serve as an index to understand the status of soil erosion and ecological envi- ronment in a watershed [1]. The rainfall-sediment ...
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A Hybrid Method for Compression of Solar Radiation Data Using Neural Networks
... Artificial Neural Networks (ANN), namely Multi-layer perceptron neural network (MLPNN), Cascade feed forward back propagation (CFNN) and Elman back propagation ...
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KNOWLEDGE-BASED NEURAL NETWORK FOR LINE FLOW CONTINGENCY SELECTION AND RANKING
... Artificial Neural Network based method for MW security assessment corresponding to line outage events have been reported by various authors in the ...of Neural Networks is to extract rules that can ...
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