Artificial Neural Network and Math Behind It

Pothina, Harshini; Nagaraja, K.V.

doi:10.1007/978-981-16-9967-2_21

Cited by 3 publications

(2 citation statements)

References 6 publications

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“…A multilayer perceptron network model is trained in the current study to predict the results of the heat transfer analysis of the wavy fin. An ANN is a three-layer (input, hidden, and output layers) feedforward neural network architecture [39,40]. An input layer is composed of many neurons.…”

Section: Network Configuration and Design Of Annmentioning

confidence: 99%

Stochastic Levenberg–Marquardt Neural Network Implementation for Analyzing the Convective Heat Transfer in a Wavy Fin

et al. 2023

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The present research examines the steady, one-dimensional thermal distribution and heat transfer of a wavy fin. This heat transfer analysis considers convective effects as well as temperature-dependent thermal conductivity. Furthermore, a novel implementation of a neural network with backpropagated Levenberg–Marquardt algorithm (NN-BLMA)-based machine learning intelligent strategies is provided to interpret the heat transfer analysis of a convective wavy fin. The non-linear ordinary differential equation (ODE) of the study problem is converted into its non-dimensional form using the similarity transformation technique. The dimensionless equation obtained is then numerically explored via the Runge–Kutta–Fehlberg scheme. A data set for varying the pertinent parameters is generated, and an artificial neural network model is designed to estimate the heat transfer behavior of the wavy fin. The effectiveness of the proposed NN-BLMA is subsequently endorsed by analyses using a regression model, mean square error, and histograms. The findings of comprehensive computational parametric studies illustrate that the presented technique, NN-BLMA is an effective convergent stochastic numerical solver employed for the heat transfer model of the convective wavy fin. The wavy fin’s temperature dispersion optimizes as the thermal conductivity parameter rises. Heat transfer rate is higher in wavy fin compared to rectangular fin.

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Section: Network Configuration and Design Of Annmentioning

confidence: 99%

Stochastic Levenberg–Marquardt Neural Network Implementation for Analyzing the Convective Heat Transfer in a Wavy Fin

et al. 2023

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“…The layer before the final one has the flexibility of improving and optimizing the images. In the end, the fifth layer has been set up for the final diagnosis based on the data saved by the system, and the learning algorithms here are done by the ANN methods [23,24].…”

Section: Applicationsmentioning

confidence: 99%

An Overview of the Artificial Neural Network-Based Applications and Impact Assessment in COVID-19

Nagaraja¹,

Pothina²,

Devi³

et al. 2022

ECS Trans.

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The article is regarding infectious disease, which has been affecting people all around the world since December 2019. Write-up gives a brief introduction of the Coronavirus from its emergence to the final solution of its exit. It gives us a glimpse of the biological structure of the virus, precautions to be taken in care to reduce the spread of the disease. The description shows us the consequences of the virus-like the mortality rate and the life expectancy rate. The article also presents a few vaccines development projects as a whole to fight COVID-19. It also describes the efficacy of vaccination and the post-vaccination symptoms. In the end, the write-up presents real-time neural network-based applications to fight COVID-19 and a few machine learning and deep learning techniques to diagnose a COVID-19 infected person. The final part of the article concludes with an artificial neural network and statistical neural network-based approaches to identify the rate of infection risk in a country.

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Hardware Trojan Modelling on a FPGA Based Deep Neural Network Accelerator

Balasubramanian¹,

Yamuna²

2023

Lecture Notes in Networks and Systems

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Artificial Neural Network and Math Behind It

Cited by 3 publications

References 6 publications

Stochastic Levenberg–Marquardt Neural Network Implementation for Analyzing the Convective Heat Transfer in a Wavy Fin

Stochastic Levenberg–Marquardt Neural Network Implementation for Analyzing the Convective Heat Transfer in a Wavy Fin

An Overview of the Artificial Neural Network-Based Applications and Impact Assessment in COVID-19

Hardware Trojan Modelling on a FPGA Based Deep Neural Network Accelerator

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