Decomposing Functionality of the Feature Recognizer Based on Artificial Neural Network System
Апстракт
The paper shows the simulation results of a completely new application of the ART-1 artificial neural network in the analysis of geometric and technological similarity of axis symmetric cylindrical parts, which significantly accelerates and automates the design of group technology. Decomposing functionality of the proposed feature recognizer is based on Artificial Neural Network System implementation with analysis of the manufacturing properties of the work-piece reproducibility.
Кључне речи:
Feature recognizer / Decomposing functionality / Work-piece reproducibility / Artificial neural network system / Geometric and technological work-piece similarityИзвор:
Development and Practice of Artificial Intelligence Techniques – ICAI 99, 1999, 248-250Издавач:
- IAAMSAD and the South African Branch of the Academy on Nonlinear Sciences, Durban-South Africa
Колекције
Институција/група
Mašinski fakultetTY - CONF AU - Miljković, Zoran AU - Babić, Bojan PY - 1999 UR - https://machinery.mas.bg.ac.rs/handle/123456789/4551 AB - The paper shows the simulation results of a completely new application of the ART-1 artificial neural network in the analysis of geometric and technological similarity of axis symmetric cylindrical parts, which significantly accelerates and automates the design of group technology. Decomposing functionality of the proposed feature recognizer is based on Artificial Neural Network System implementation with analysis of the manufacturing properties of the work-piece reproducibility. PB - IAAMSAD and the South African Branch of the Academy on Nonlinear Sciences, Durban-South Africa C3 - Development and Practice of Artificial Intelligence Techniques – ICAI 99 T1 - Decomposing Functionality of the Feature Recognizer Based on Artificial Neural Network System EP - 250 SP - 248 UR - https://hdl.handle.net/21.15107/rcub_machinery_4551 ER -
@conference{ author = "Miljković, Zoran and Babić, Bojan", year = "1999", abstract = "The paper shows the simulation results of a completely new application of the ART-1 artificial neural network in the analysis of geometric and technological similarity of axis symmetric cylindrical parts, which significantly accelerates and automates the design of group technology. Decomposing functionality of the proposed feature recognizer is based on Artificial Neural Network System implementation with analysis of the manufacturing properties of the work-piece reproducibility.", publisher = "IAAMSAD and the South African Branch of the Academy on Nonlinear Sciences, Durban-South Africa", journal = "Development and Practice of Artificial Intelligence Techniques – ICAI 99", title = "Decomposing Functionality of the Feature Recognizer Based on Artificial Neural Network System", pages = "250-248", url = "https://hdl.handle.net/21.15107/rcub_machinery_4551" }
Miljković, Z.,& Babić, B.. (1999). Decomposing Functionality of the Feature Recognizer Based on Artificial Neural Network System. in Development and Practice of Artificial Intelligence Techniques – ICAI 99 IAAMSAD and the South African Branch of the Academy on Nonlinear Sciences, Durban-South Africa., 248-250. https://hdl.handle.net/21.15107/rcub_machinery_4551
Miljković Z, Babić B. Decomposing Functionality of the Feature Recognizer Based on Artificial Neural Network System. in Development and Practice of Artificial Intelligence Techniques – ICAI 99. 1999;:248-250. https://hdl.handle.net/21.15107/rcub_machinery_4551 .
Miljković, Zoran, Babić, Bojan, "Decomposing Functionality of the Feature Recognizer Based on Artificial Neural Network System" in Development and Practice of Artificial Intelligence Techniques – ICAI 99 (1999):248-250, https://hdl.handle.net/21.15107/rcub_machinery_4551 .