Search Results - layer perceptron computer simulation
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Forward modeling of seabed logging with controlled source electromagnetic method using multilayer perceptron
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A Lightweight Perceptron-Based Intrusion Detection System for Fog Computing
Published 2019“…The simulation shows that by using a single hidden layer and a small number of nodes, we are able to achieve a 94% Accuracy, 95% Recall, and 92% F1-Measure in ADFA-LD and 74% Accuracy, 74% Recall, and 74% F1-Measure in ADFA-WD. …”
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Activation functions performance in multilayer perceptron for time series forecasting
Published 2024“…This study aims to evaluate the performance of three activation functions, Sigmoid, Hyperbolic Tangent (Tanh), and Rectified Linear Unit (ReLU) in the hidden layer of Multilayer Perceptron (MLP) for time series forecasting. …”
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Speaker authentication system using soft computing approaches
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Identification algorithms of flexible structure using neural networks
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A lightweight host-based intrusion detection system using N-gram and perceptron model for internet of things / Belal Sudqi Abed Saleh Khater
Published 2021“…The HIDS utilizes fog computing paradigm to address the inherent challenges of the cloud such as latency, lack of mobility support and location-awareness. …”
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Detection of arcing fault in underground distribution cable using artificial neural network
Published 2004“…Arcing faults data are collected through simulations and experiments. The simulations involve the modelling of a simple underground distribution system and two TNB underground distribution systems using Power System Computer Aided Design 1 Electromagnetic Transient for Direct Current (PSCADIEMTDC) program. …”
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Nano-satellite attitude control system based on adaptive neuro-controller
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Pattern recognition using neural network : user defined imaged classifier based neural network using selected feature
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The effect of data preprocessing on the performance of artificial neural networks techniques for classification problems
Published 2012“…The performance of Multi-layer Perceptron (MLP) trained with back-propagation artificial neural network (BP-ANN) method is highly influenced by the size of the data-sets and the data-preprocessing techniques used. …”
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Snort-based smart and swift intrusion detection system
Published 2018“…Then, only these relevant features are trained with the help of multi-layer perceptron supervised neural network. The simulation is performed using MATLAB. …”
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The Jordan Pi-Sigma neural network for temperature prediction
Published 2012“…However, the ordinary NN adopts computationally intensive training algorithms and can easily get trapped into local minima. …”
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