Application of Extreme learning machine for predicting strain-life fatigue properties of steels on the basis of tensile tests - open to bidding

$30-250 USD

Закрито

Опублікований

almost 10 years ago

$30-250 USD

Оплачується при отриманні

sir i have send you one fatigue paper, in which they apply ann algorithm i just want to implement the extreme learning machine algorithm instead of ann. And show a clear comparision that extreme learning machine is better.

Electrical Engineering

Engineering

Manufacturing Design

Matlab and Mathematica

Mechanical Engineering

ID проекту: 6115145

Про проект

4 пропозицій(-ї)

Дистанційний проект

Активність 10 yrs ago

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4 фрілансерів(-и) готові виконати цю роботу у середньому за $189 USD

@ognjen011

A proposal has not yet been provided

$147 USD за 3 дні(-в)

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@queer11

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$222 USD за 3 дні(-в)

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@CeruleanUS

I am a researcher in a famous university in US. I know extreme learning machine which is short for ELM is an approach to neural networks. I am quite familiar with it, I think i could work for you to implement ELM . Both matlab and C++ are fine for me. I will provide the result and compare it to ANN. looking forward to further information. regard,

$222 USD за 3 дні(-в)

0,0

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@justus9320

Hi I have Bachelor's degree in Electrical Engineering and Master's degree in Industrial Engineering. I worked as a Graduate Research Assistant at Center for Nontraditional Manufacturing Research for 3 years. During this time I have also coauthored 3 research papers. Later, I worked with a manufacturing company for 1.5 years as a Senior Engineer. I understand stress strain relationship, fatigue cycle very well. I have taken a graduate level course in Continuum Mechanics. Also I have done some basic projects in Neural Networks during a course in Machine Learning. I have completed several projects in Matlab throughout my educational and work life. I am interested in this project because it will use my manufacturing as well as modeling and programming skills.

$166 USD за 3 дні(-в)