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1. The Invention |
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Title: Using Neural Network Modeling For Steel Carbonizing
Process The problem the inventor(s) wanted to
solve: The practical implications of the neural network models are
the possibility of using them to build control
system capable of on-line controlling running process and supporting
engineering decision in real time. Description. Authors present the using of neural networks model for
designing carbonizing process in fluidized bed. This process is very complicated
and difficult as multi-parameters changes are non-linear and car drive
elements structure is non homogeneous. This fact and lack of mathematical
algorithms describing this process makes modeling properties of drives
elements by traditional numerical methods difficult or even impossible. In
this case it is possible to try using artificial neural network. Presentation: Poster Fields of application: Authors
present the using of neural networks model for designing carbonizing process
in fluidized bed. This process is very complicated and difficult as
multi-parameters changes are non-linear and car drive elements structure is
non homogeneous. Advantages: Mathematical algorithms describing this process makes modeling properties of drives
elements by traditional numerical methods difficult or even impossible. In
this case it is possible to try using artificial neural network. Documentation
available: Yes – |
2. The
inventor (or inventors): |
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Name: Michal
SZOTA, Jozef JASINSKI Photo. None Owner of the
invention? |
3.
Protection |
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Patent Status: - |
4.
Business intention |
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Cooperation, Selling the new product |
5.
Contact: |
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Materials
Engineering Institute Address: Av. Armii Krajowej 19, 42-200 Czestochowa, Poland Tel. +48 34 325
07 32, cell phone: +48 600 298 200 e-mail: mszota@mim.pcz.czest.pl |