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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

Closed
Posted almost 10 years ago

$30-250 USD

Paid on delivery
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.
Project ID: 6115145

About the project

4 proposals
Remote project
Active 10 yrs ago

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4 freelancers are bidding on average $189 USD for this job
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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,
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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.
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Member since Jun 23, 2014

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