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Artificial Neural Network (ANN) and Fuzzy junction computation (FJC)

ABSTRACT: A comparative study of reliability prediction of Compressor system by means of Artificial Neural Network (ANN) and Time to failure (TTF) analysis is presented. The data for the study was taken from a specific example namely; CO

ABSTRACT: A comparative study of reliability prediction of Compressor system by means of Artificial Neural Network (ANN) and Time to failure (TTF) analysis is presented. The data for the study was taken from a specific example namely; CO

... Yet ANN model gave a better ...work. Artificial Neural Network models are designed to handle stochastic and complex data analysis problems far beyond the size of example data used in this ...

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An Artificial Neural Network (ANN) Model for Predicting Water Absorption of Nanoclay Epoxy Composites

An Artificial Neural Network (ANN) Model for Predicting Water Absorption of Nanoclay Epoxy Composites

... an Artificial Neural Network (ANN) model was developed for bet- ter understanding and predicting the influence of modified and unmodified bentonite addition on the water absorption behavior of ...

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An Effective Artificial Neural Network based Power Load Prediction Algorithm

An Effective Artificial Neural Network based Power Load Prediction Algorithm

... as Artificial Neural Networks (ANN) is a prospective approach for such ...in Artificial Neural ...methods, Artificial Neural Network performs better than other ...

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Estimation of biodiesel properties from chemical composition – an artificial neural network (ANN) approach

Estimation of biodiesel properties from chemical composition – an artificial neural network (ANN) approach

... an ANN which represents a mathematical relationship between input and output parameters of a system as such a black box ...an ANN system in order to reduce the computational ...the ANN for viscosity ...

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Predicting heat stressed EEG spectra by self organising feature map and learning vector quantizers——SOFM and LVQ based stress prediction

Predicting heat stressed EEG spectra by self organising feature map and learning vector quantizers——SOFM and LVQ based stress prediction

... of artificial neural network (ANN) as a tool for automated sleep ...The ANN programs were developed for the analysis of most of the works that rely on spectral analysis and power ...

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A Survey on Deep Learning Based IoT Approach for Precision Crop Suggestion

A Survey on Deep Learning Based IoT Approach for Precision Crop Suggestion

... Perceptron, Neural Network is applied for processing with the help of WEKA ...the Artificial Neural Network based model the prediction capabilities can be improved by considering ...

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Radio location of partial discharge sources : a support vector regression approach

Radio location of partial discharge sources : a support vector regression approach

... a network of inexpensive radio sensors to sample the spatial patterns of PD received signal ...of artificial neural network (ANN) ...

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Machine learning approach for detection of nonTor traffic

Machine learning approach for detection of nonTor traffic

... of Artificial neural network (ANN) and Support vector machines (SVM) in terms of overall accuracy in detecting nonTor traffic in a Tor network traffic dataset data from the University ...

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ANN Based Modeling for Coagulant Dosage in Drinking Water Treatment Plant

ANN Based Modeling for Coagulant Dosage in Drinking Water Treatment Plant

... the Artificial Neural Network (ANN). The ANN is known as an excellent estimator of nonlinear relationships between accumulated input and output numerical ...the ANN, the optimal ...

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ANN Based Modeling for Coagulant Dosage in Drinking Water Treatment Plant

ANN Based Modeling for Coagulant Dosage in Drinking Water Treatment Plant

... the Artificial Neural Network (ANN). The ANN is known as an excellent estimator of nonlinear relationships between accumulated input and output numerical ...the ANN, the optimal ...

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Requirements of ERP Vendors using Hybrid Hierarchy Process with Artificial Neural Network (Hahp Ann) Method

Requirements of ERP Vendors using Hybrid Hierarchy Process with Artificial Neural Network (Hahp Ann) Method

... In this work, the product advancement stage is to execute the framework that can guarantee the exhibition, ideal and adaptable endeavor asset arranging framework specifically Hybrid Analytic Hierarchy ...

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Nondestructive identification of tea (Camellia sinensis L ) varieties using FT NIR spectroscopy and pattern recognition

Nondestructive identification of tea (Camellia sinensis L ) varieties using FT NIR spectroscopy and pattern recognition

... of ANN model Artificial neural network (ANN) is a non-linear pattern recognition ...Propagation Artificial Neural Network (BP-ANN) with 3 layers construction ...

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ANN prediction of corrosion behaviour of uncoated and biopolymers coated cp Titanium substrates

ANN prediction of corrosion behaviour of uncoated and biopolymers coated cp Titanium substrates

... Artificial Neural Network (ANN) was developed to predict the Open Cicuit Potential (OCP) values and Nyquist plot for bare and bioploymer coated cp-Titanium ...train ANN and to fit the ...

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Modelling of the superplastic deformation of the near-a titanium alloy (Ti-2.5AL-1.8MN) using arrhenius-type constitutive model and artificial neural network

Modelling of the superplastic deformation of the near-a titanium alloy (Ti-2.5AL-1.8MN) using arrhenius-type constitutive model and artificial neural network

... The flow behaviour of material during hot forming process is usually complicated. The hardening and softening mechanisms both mainly affect the strain rate and temperature [1–3]. The understanding of metallic alloys ...

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Machine learning approach for detection of non-Tor Traffic

Machine learning approach for detection of non-Tor Traffic

... Tor network is popular in providing privacy and security to end user by anonymizing the identity of internet users connecting through a series of tunnels and ...Tor Network Traffic dataset and ...

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A Review on Heart Disease Prediction using Machine Learning and Data Analytics Approach

A Review on Heart Disease Prediction using Machine Learning and Data Analytics Approach

... as Artificial Neural Network (ANN), Decision tree, Fuzzy Logic, K-Nearest Neighbour(KNN), Naïve Bayes and Support Vector Machine ...

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A New Approach for Rainfall Prediction using  Artificial Neural Network

A New Approach for Rainfall Prediction using Artificial Neural Network

... Abstract: Rainfall is considered as one of the major components of the weather forecasting. In the current world climate change, the accuracy of rainfall forecasting model is very important factor. Rainfall affects the ...

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The Adaptive Control of FES-assisted Indoor Rowing Exercise

The Adaptive Control of FES-assisted Indoor Rowing Exercise

... A fuzzy logic control (FLC) scheme is designed in Matlab/Simulink and adapted online by pre-training artificial neural network (ANN) to regulate the muscle stimulation pulse width ...

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Detection and Classification of Leukaemia using Artificial Neural Network

Detection and Classification of Leukaemia using Artificial Neural Network

... a Artificial Neural Network (ANN) is designed based on the features ...This neural network is trained to classify the images into their respective ...

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Network Data Classification through Artificial Neural Networks and GenClust++ Algorithm

Network Data Classification through Artificial Neural Networks and GenClust++ Algorithm

... The prediction accuracy may be altered by the presence of irrelevant or redundant attributes. We will perform two types of feature selection in order to improve the classification accuracy and the total ...

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