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Nourbakhsh et al., 2014 - Google Patents

Prediction of red plum juice permeate flux during membrane processing with ANN optimized using RSM

Nourbakhsh et al., 2014

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Document ID
6751015491727068228
Author
Nourbakhsh H
Emam-Djomeh Z
Omid M
Mirsaeedghazi H
Moini S
Publication year
Publication venue
Computers and Electronics in Agriculture

External Links

Snippet

In this work, a three-layer artificial neural network (ANN) optimized by response surface methodology (RSM) was designed to predict the permeate flux of red plum juice during membrane clarification. The input parameters of the model were trans-membrane pressure …
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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • G06N3/04—Architectures, e.g. interconnection topology

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