Search Results - (( java implementation using algorithm ) OR ( using network mlp algorithm ))
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Rainfall prediction using multiple inclusive models and large climate indices
Published 2023Article -
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Fractional Stochastic Gradient Descent Based Learning Algorithm For Multi-layer Perceptron Neural Networks
Published 2021“…Multi-layer perceptron (MLP) neural network is one of the most widely used neural network architecture. …”
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Detection of acute leukaemia cells using variety of features and neural networks
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An improved artificial bee colony algorithm for training multilayer perceptron in time series prediction
Published 2014“…Moreover, these improved algorithm's success to get high accuracy and optimize the best network's weight values for training the MLP.…”
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A comparative study of vibrational response based impact force localization and quantification using different types of neural networks / Wang Yanru
Published 2018“…Radial Basis Neural Network (RBFN) was proven more error-tolerant and better than MLP using input feature peak arrival time (PAT). iN the previous study, more accure input feature (i.e minimum arrival time (MAT)) was proposed to compare the accuracy of RBFN and MLP. …”
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XCOA-MLP: Extended Coyote Optimization Algorithm for training neural networks in medical data classification
Published 2025“…This study proposes XCOA-MLP, a multilayer perceptron trained using an improved coyote optimization algorithm (XCOA). …”
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Evaluation of optimal MLP structure for heart disease diagnosis / Salbiah Ab Hamid
Published 2010“…This thesis presents the investigation on the performance of Artificial Neural Network (ANN) with Multilayer Perceptron (MLP) using Levenberg-Marquardt (LM) Algorithm in heart disease diagnosis. …”
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Landslide susceptibility mapping at VAZ watershed (Iran) using an artificial neural network model: a comparison between multilayer perceptron (MLP) and radial basic function (RBF) algorithms
Published 2013“…In this study, both MLP and RBF algorithms were used in artificial neural network model. …”
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Adaptive Non-Stationary Cardiac Signals Identification using an Augmented MLP Network
Published 2007“…Variants of recursive hybrid neural learning is being applied on Direct Link MLP (DMLP) network to identify ECG signals and their performance when compared to different MLP network structure.…”
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Functional link neural network with modified bee-firefly learning algorithm for classification task
Published 2016“…The single layer property of FLNN also make the learning algorithm used less complicated compared to MLP network. …”
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Improved voting technique for ensemble of MLP system applied on various classification data / Saodah Omar, Iza Sazanita Isa and Junita Mohd Saleh.
Published 2010“…The MLP networks are trained using two types of learning algorithm, which are the Levenberg Marquardt and the Resilient Back Propagation algorithms. …”
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Research Reports -
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SLIDING WINDOW TRAINING ALGORITHMS USING MLP-NETWORK FOR CORRELATED AND LOST PACKET DATA
Published 2012“…Multilayer Perceptron neural networks (MLP) are mathematicaVcomputational models inspired by imitating the biological central nervous system and its neurons. …”
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ECG peak recognition using Artificial Neural Network / Sharifah Saliha Syed Bahrom and Leong Jenn Hwai.
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Research Reports -
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Memory efficient BFGS neural-network learning algorithms using MLP-network: a survey
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