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Keywords: artificial neural network
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Proceedings Papers

Neural Network Based Transfer Learning for Robot Path Generation

Houcheng Tang, Leila Notash
Proc. ASME. IDETC-CIE2021, Volume 8B: 45th Mechanisms and Robotics Conference (MR), V08BT08A049, August 17–19, 2021
Paper No: DETC2021-69006
DOI: https://doi.org/10.1115/DETC2021-69006
...Abstract Abstract In this paper, an artificial neural network (ANN) based transfer learning approach of inverse displacement analysis of robot manipulators is studied. ANNs with different structures are applied utilizing data from different end effector paths of a manipulator for training...
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Topics: Artificial neural networks, Displacement, Manipulators, Robots
Proceedings Papers

Artificial Neural Network Prediction of Deflection Maps for Cable-Driven Robots

Leila Notash
Proc. ASME. IDETC-CIE2020, Volume 10: 44th Mechanisms and Robotics Conference (MR), V010T10A094, August 17–19, 2020
Paper No: DETC2020-22513
DOI: https://doi.org/10.1115/DETC2020-22513
...ARTIFICIAL NEURAL NETWORK PREDICTION OF DEFLECTION MAPS FOR CABLE- DRIVEN ROBOTS Leila Notash1 Department of Mechanical and Materials Engineering Queen s University Kingston, Ontario, Canada ABSTRACT In this paper, the learning models of cable-driven robots are developed applying the artificial...
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Topics: Artificial neural networks, Cables, Deflection, Robots
Proceedings Papers

Dimensional Prediction for FDM Machines Using Artificial Neural Network and Support Vector Regression

Jiaqi Lyu, Souran Manoochehri
Proc. ASME. IDETC-CIE2019, Volume 1: 39th Computers and Information in Engineering Conference, V001T02A033, August 18–21, 2019
Paper No: DETC2019-97963
DOI: https://doi.org/10.1115/DETC2019-97963
..., layer thickness, and infill density, are considered in the model. To achieve better prediction accuracy, three models are studied, namely multivariate linear regression, Artificial Neural Network (ANN), and Support Vector Regression (SVR). The models are used to characterize the complex relationship...
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Topics: Artificial neural networks, Machinery, Modeling, Support vector machines
Proceedings Papers

A Deep Learning Based Approach to Predict Sequential Design Decisions

Molla Hafizur Rahman, Charles Xie, Zhenghui Sha
Proc. ASME. IDETC-CIE2019, Volume 1: 39th Computers and Information in Engineering Conference, V001T02A029, August 18–21, 2019
Paper No: DETC2019-97625
DOI: https://doi.org/10.1115/DETC2019-97625
... neural network, Engineering design process, CAD. 1 Corresponding author: zsha@uark.edu NOMENCLATURE ANN Artificial Neural network FFNN Feed Forward neural network HMM Hidden Markov model LSTM Long short-term memory MM Markov model REP Repetitive model RNN Recurrent neural network 1. INTRODUCTION Design...
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Topics: Decision making, Design, Algorithms, Chain, Artificial neural networks, Computer-aided design, Engineering design processes, Modeling, Solar energy systems
Proceedings Papers

Self-Adapting Intelligent Battery Thermal Management System via Artificial Neural Network Based Model Predictive Control

Yuanzhi Liu, Jie Zhang
Proc. ASME. IDETC-CIE2019, Volume 2A: 45th Design Automation Conference, V02AT03A026, August 18–21, 2019
Paper No: DETC2019-98205
DOI: https://doi.org/10.1115/DETC2019-98205
...SELF-ADAPTING INTELLIGENT BATTERY THERMAL MANAGEMENT SYSTEM VIA ARTIFICIAL NEURAL NETWORK BASED MODEL PREDICTIVE CONTROL Yuanzhi Liu The University of Texas at Dallas Richardson, TX 75080 Email: yuanzhi.liu@utdallas.edu Jie Zhang The University of Texas at Dallas Richardson, TX 75080 Email...
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Topics: Artificial neural networks, Batteries, Electric vehicles, Optimization, Predictive control, Thermal management
Proceedings Papers

Generative Evolutionary Action Grammar Based Form Exploration

Sitaram Soni, Pritee Khanna, Puneet Tandon
Proc. ASME. IDETC-CIE2013, Volume 2A: 33rd Computers and Information in Engineering Conference, V02AT02A064, August 4–7, 2013
Paper No: DETC2013-13024
DOI: https://doi.org/10.1115/DETC2013-13024
... the product form. The knowledge about the design generation is captured and used by the artificial neural network and genetic algorithms respectively. Principal component analysis s is used for the tacit knowledge extraction in the form of heuristics. The proposed formalism is able to support the design...
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Topics: Artificial neural networks, Conceptual design, Creativity, Design, Engineering prototypes, Genetic algorithms, Principal component analysis
Proceedings Papers

Neural Network Modeling and Control of Stoker-Fired Boiler Plant

S. M. Thai, S. J. Wilcox, A. Z. S. Chong, J. Ward
Proc. ASME. IDETC-CIE2007, Volume 1: 21st Biennial Conference on Mechanical Vibration and Noise, Parts A, B, and C, 575-582, September 4–7, 2007
Paper No: DETC2007-35228
DOI: https://doi.org/10.1115/DETC2007-35228
... 22 05 2009 The work described in this paper aims to address the development of a Neural Network Based Controller (NNBC) to control chain grate stoker fired boilers. Artificial Neural Networks (ANNs) were used to estimate future emissions from and control the combustion process...
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Topics: Artificial neural networks, Boilers, Chain, Control modeling, Emissions, Fireplaces, Pollution