Model Selection and Quality Estimation of Time Series Models for Artificial Technical Surface Generation

Model Selection and Quality Estimation of Time Series Models for Artificial Technical Surface Generation

Standard compliant parameter calculation in surface topography analysis takes the manufacturing process into account. Thus, the measurement technician can be supported with automated suggestions for preprocessing, filtering and evaluation of the measurement data based on the character of the surface...

Full description

Bibliographic Details
Main Authors:	Matthias Eifler, Felix Ströer, Sebastian Rief, Jörg Seewig
Format:	Article
Language:	English
Published:	MDPI AG 2017-12-01
Series:	Technologies
Subjects:	surface modeling time series models neural networks
Online Access:	https://www.mdpi.com/2227-7080/6/1/3

Similar Items

An Approach for the Simulation of Ground and Honed Technical Surfaces for Training Classifiers
by: Sebastian Rief, et al.
Published: (2017-10-01)

Availability Prediction of the Repairable Equipment using Artificial Neural Network and Time Series Models
by: hiwa farughi, et al.
Published: (2018-03-01)

An investigation into the use of combined linear and neural network models for time series data / A.S. Kruger.
by: Kruger, Albertus Stephanus
Published: (2011)

An investigation into the use of combined linear and neural network models for time series data / A.S. Kruger.
by: Kruger, Albertus Stephanus
Published: (2011)

Time Series Modelling
by: Christian H. Weiß
Published: (2021-09-01)

Considering seasonal fluctuations on balancing time series with the use of artificial neural networks when forecasting US imports from the PRC
by: Vrbka Jaromír, et al.
Published: (2020-01-01)

Hybrid Model for Time Series of Complex Structure with ARIMA Components
by: Oksana Mandrikova, et al.
Published: (2021-05-01)

Appli‌cation and Comparison of Integrated Time Series and Artificial Neural Network Model for Prediction of the Variations of Groundwater Level (Case study: Plain Marvast)
by: Hossein Malkinezhad, et al.
Published: (2013-11-01)

[en] TIME SERIES MODEL WITH NEURAL COEFFICIENTS FOR NONLINEAR PROCESSES IN MEAN AND VARIANCE
by: MARIA LUIZA FERNANDES VELLOSO
Published: (2006)

Modeling and optimization of laser direct structuring process using artificial neural network and response surface methodology
by: Bassim Bachy, et al.
Published: (2015-09-01)

[en] ARTIFICIAL NEURAL NETWORKS IN TIME SERIES FORECASTING
by: ANTONIO JORGE GOMES ABELEM
Published: (2006)

Llaima volcano dataset: In-depth comparison of deep artificial neural network architectures on seismic events classification
by: João Paulo Canário, et al.
Published: (2020-06-01)

Forecasting Pavement Surface Temperature Using Time Series and Artificial Neural Networks
by: Hashemloo, Behzad
Published: (2008)

Forecasting Pavement Surface Temperature Using Time Series and Artificial Neural Networks
by: Hashemloo, Behzad
Published: (2008)

Modeling Seasonal Time Series
by: Alexandra Colojoara
Published: (2006-12-01)

Time series exponential models: theory and methods
by: Holan, Scott Harold
Published: (2004)

Automated Generation of Digital Terrain Model using Point Clouds of Digital Surface Model in Forest Area
by: Yoshikazu Kamiya, et al.
Published: (2011-04-01)

Learning to predict cryptocurrency price using artificial neural network models of time series
by: Gullapalli, Sneha
Published: (2018)

Three Essays on Shrinkage Estimation and Model Selection of Linear and Nonlinear Time Series Models
Published: (2018)

MODELING OF EXTRUSION PROCESS USING RESPONSE SURFACE METHODOLOGY AND ARTIFICIAL NEURAL NETWORKS
by: NEELAM SHIHANI, et al.
Published: (2006-06-01)

A COMPARATIVE STUDY OF FORECASTING MODELS FOR TREND AND SEASONAL TIME SERIES DOES COMPLEX MODEL ALWAYS YIELD BETTER FORECAST THAN SIMPLE MODELS
by: Suhartono Suhartono
Published: (2005-01-01)

Weather Radar Estimations Feeding an Artificial Neural Network Model Weather Radar Estimations Feeding an Artificial Neural Network Model
by: Dawei Han, et al.
Published: (2012-02-01)

Financial Forecasting With α-RNNs: A Time Series Modeling Approach
by: Matthew Dixon, et al.
Published: (2021-02-01)

Evaluating an Automated Number Series Item Generator Using Linear Logistic Test Models
by: Bao Sheng Loe, et al.
Published: (2018-04-01)

A comparison of time series forecasting between artificial neural networks and box and jenkins methods
by: Joanna Collantes Duarte, et al.

Estimation of Perceptual Surface Property Using Deep Networks With Attention Models
by: Hyunjoong Cho, et al.
Published: (2018-01-01)

The Neutrosophic Time Series-Study Its Models (LinearLogarithmic) and test the Coefficients Significance of Its linear model
by: Rafif Alhabib, et al.
Published: (2020-05-01)

Forecasting paleoclimatic data with time series models
by: Gordon Reikard
Published: (2021-06-01)

Financial Time Series Modelling with Hybrid Model Based on Customized RBF Neural Network Combined With Genetic Algorithm
by: Lukas Falat, et al.
Published: (2014-01-01)

Comparison of Time Series Methods and Artificial Neural Networks In Reference Evapotranspiration Prediction (Case Study: Urmia)
by: Nasrin Azad Talatapeh, et al.
Published: (2016-01-01)

Industrial Time Series Modelling by Means of the Neo-Fuzzy Neuron
by: Daniel Zurita, et al.
Published: (2016-01-01)

A Novel Hybrid Autoregressive Integrated Moving Average and Artificial Neural Network Model for Cassava Export Forecasting
by: Warut Pannakkong, et al.
Published: (2019-09-01)

A performance analysis of ForeNet on time series prediction.
Published: (2009)

Application of Levenberg-Marquardt Optimization Algorithm Based Multilayer Neural Networks for Hydrological Time Series Modeling
by: Umut Okkan
Published: (2011-07-01)

A Neural Networks Based Method for Multivariate Time-Series Forecasting
by: Shaowei Li, et al.
Published: (2021-01-01)

Time Series Modeling with Shape Constraints
by: Zhang, Jing
Published: (2017)

Identification of stable elementary bilinear time-series model
by: Malinski Lukasz
Published: (2016-12-01)

Influence of the range of data on the performance of ANN- and SVM- based time series models for reproducing groundwater level observations
by: Heesung Yoon, et al.
Published: (2019-03-01)

Nonlinear Time Series and Neural-Network Models of Exchange Rates between the US Dollar and Major Currencies
by: David E. Allen, et al.
Published: (2016-03-01)

Mixture Density Conditional Generative Adversarial Network Models (MD-CGAN)
by: Jaleh Zand, et al.
Published: (2021-09-01)