Plastic Extrusion Process Optimization by Inversion of Stacked Autoencoder Classification Machines

to related objects

Abstract: In the face of climate change and rising energy prices, lowering energy usage of industrial machines is gaining widespread attention. Αpropriate machine settings could lead to reduced production costs and lower environmental impact, while simultaneously maintaining products' quality. However, defining the complex, nonlinear dependencies between these settings and energy usage or quality in manufacturing is often a challenging task. In the presented work, a method for optimized machine settings recommendation is proposed using inverse classification via autoencoders. The algorithm can suggest operation parameters, based on predefined intervals of energy consumption and product properties. The performance is evaluated on data generated by a digital twin of an extrusion process.

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: Plastic Extrusion Process Optimization by Inversion of Stacked Autoencoder Classification Machines ; day:05 ; month:04 ; year:2023 ; extent:9
Chemie - Ingenieur - Technik ; (05.04.2023) (gesamt 9)

Creator: Burr, Julia
Sarishvili, Alex
Just, Daniel
Katsaouni, Nikoletta
Moser, Kevin

DOI: 10.1002/cite.202200211

URN: urn:nbn:de:101:1-2023040615181044847318

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:56 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Burr, Julia
Sarishvili, Alex
Just, Daniel
Katsaouni, Nikoletta
Moser, Kevin

Other Objects (12)

A Stacked Autoencoder-Based miRNA Regulatory Module Detection Framework

SMALF: miRNA-disease associations prediction based on stacked autoencoder and XGBoost

DensePILAE: a feature reuse pseudoinverse learning algorithm for deep stacked autoencoder

Two-stage multi-dimensional convolutional stacked autoencoder network model for hyperspectral images classification

Hochschulschrift

Modelling and control of plastic extrusion machines

Typical fault prediction method for wind turbines based on an improved stacked autoencoder network

IPMiner: hidden ncRNA-protein interaction sequential pattern mining with stacked autoencoder for accurate computational prediction

A novel microbe-drug association prediction model based on stacked autoencoder with multi-head attention mechanism

Soft Sensor Modeling Method by Maximizing Output-Related Variable Characteristics Based on a Stacked Autoencoder and Maximal Information Coefficients

Reviving autoencoder pretraining

RN-Autoencoder: Reduced Noise Autoencoder for classifying imbalanced cancer genomic data

Using spreadsheets to produce stacked histogram, stacked line and spindle charts

A Stacked Autoencoder-Based miRNA Regulatory Module Detection Framework

SMALF: miRNA-disease associations prediction based on stacked autoencoder and XGBoost

DensePILAE: a feature reuse pseudoinverse learning algorithm for deep stacked autoencoder

Two-stage multi-dimensional convolutional stacked autoencoder network model for hyperspectral images classification

Hochschulschrift

Modelling and control of plastic extrusion machines

Typical fault prediction method for wind turbines based on an improved stacked autoencoder network

IPMiner: hidden ncRNA-protein interaction sequential pattern mining with stacked autoencoder for accurate computational prediction

A novel microbe-drug association prediction model based on stacked autoencoder with multi-head attention mechanism

Soft Sensor Modeling Method by Maximizing Output-Related Variable Characteristics Based on a Stacked Autoencoder and Maximal Information Coefficients

Reviving autoencoder pretraining

RN-Autoencoder: Reduced Noise Autoencoder for classifying imbalanced cancer genomic data

Using spreadsheets to produce stacked histogram, stacked line and spindle charts

A Stacked Autoencoder-Based miRNA Regulatory Module Detection Framework

SMALF: miRNA-disease associations prediction based on stacked autoencoder and XGBoost

DensePILAE: a feature reuse pseudoinverse learning algorithm for deep stacked autoencoder

Two-stage multi-dimensional convolutional stacked autoencoder network model for hyperspectral images classification

Hochschulschrift

Modelling and control of plastic extrusion machines

Typical fault prediction method for wind turbines based on an improved stacked autoencoder network

IPMiner: hidden ncRNA-protein interaction sequential pattern mining with stacked autoencoder for accurate computational prediction

A novel microbe-drug association prediction model based on stacked autoencoder with multi-head attention mechanism

Soft Sensor Modeling Method by Maximizing Output-Related Variable Characteristics Based on a Stacked Autoencoder and Maximal Information Coefficients

Reviving autoencoder pretraining

RN-Autoencoder: Reduced Noise Autoencoder for classifying imbalanced cancer genomic data

Using spreadsheets to produce stacked histogram, stacked line and spindle charts

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

Plastic Extrusion Process Optimization by Inversion of Stacked Autoencoder Classification Machines

Object Details

References and Relationships

Contributors, Places and Time

Further information

Data provider

Associated

Other Objects (12)

A Stacked Autoencoder-Based miRNA Regulatory Module Detection Framework

SMALF: miRNA-disease associations prediction based on stacked autoencoder and XGBoost

DensePILAE: a feature reuse pseudoinverse learning algorithm for deep stacked autoencoder

Two-stage multi-dimensional convolutional stacked autoencoder network model for hyperspectral images classification

Modelling and control of plastic extrusion machines

Typical fault prediction method for wind turbines based on an improved stacked autoencoder network

IPMiner: hidden ncRNA-protein interaction sequential pattern mining with stacked autoencoder for accurate computational prediction

A novel microbe-drug association prediction model based on stacked autoencoder with multi-head attention mechanism

Soft Sensor Modeling Method by Maximizing Output-Related Variable Characteristics Based on a Stacked Autoencoder and Maximal Information Coefficients

Reviving autoencoder pretraining

RN-Autoencoder: Reduced Noise Autoencoder for classifying imbalanced cancer genomic data

Using spreadsheets to produce stacked histogram, stacked line and spindle charts

A Stacked Autoencoder-Based miRNA Regulatory Module Detection Framework

SMALF: miRNA-disease associations prediction based on stacked autoencoder and XGBoost

DensePILAE: a feature reuse pseudoinverse learning algorithm for deep stacked autoencoder

Two-stage multi-dimensional convolutional stacked autoencoder network model for hyperspectral images classification

Modelling and control of plastic extrusion machines

Typical fault prediction method for wind turbines based on an improved stacked autoencoder network

IPMiner: hidden ncRNA-protein interaction sequential pattern mining with stacked autoencoder for accurate computational prediction

A novel microbe-drug association prediction model based on stacked autoencoder with multi-head attention mechanism

Soft Sensor Modeling Method by Maximizing Output-Related Variable Characteristics Based on a Stacked Autoencoder and Maximal Information Coefficients

Reviving autoencoder pretraining

RN-Autoencoder: Reduced Noise Autoencoder for classifying imbalanced cancer genomic data

Using spreadsheets to produce stacked histogram, stacked line and spindle charts

A Stacked Autoencoder-Based miRNA Regulatory Module Detection Framework

SMALF: miRNA-disease associations prediction based on stacked autoencoder and XGBoost

DensePILAE: a feature reuse pseudoinverse learning algorithm for deep stacked autoencoder

Two-stage multi-dimensional convolutional stacked autoencoder network model for hyperspectral images classification

Modelling and control of plastic extrusion machines

Typical fault prediction method for wind turbines based on an improved stacked autoencoder network

IPMiner: hidden ncRNA-protein interaction sequential pattern mining with stacked autoencoder for accurate computational prediction

A novel microbe-drug association prediction model based on stacked autoencoder with multi-head attention mechanism

Soft Sensor Modeling Method by Maximizing Output-Related Variable Characteristics Based on a Stacked Autoencoder and Maximal Information Coefficients

Reviving autoencoder pretraining

RN-Autoencoder: Reduced Noise Autoencoder for classifying imbalanced cancer genomic data

Using spreadsheets to produce stacked histogram, stacked line and spindle charts

Related objects

Reset password