Development of Automatic Operation System for a Shredding Plant using Neural Networks

2000 ◽  
Vol 2000.2 (0) ◽  
pp. 9-10
Author(s):  
Tadao SHIMADA ◽  
Shoji MURAKAMI ◽  
Takao KANAMARU ◽  
Jyunichi OKUMURA
Keyword(s):  
Neural Networks ◽  
Operation System ◽  
Automatic Operation

scholarly journals Automatic Operation System of HCCI Engine with Gas Fuel from Biomass

2013 ◽  
Vol 79 (807) ◽  
pp. 4263-4274 ◽  
Author(s):  
Yudai YAMASAKI ◽  
Taichi ARAI ◽  
Shigehiko KANEKO
Keyword(s):  
Operation System ◽  
Automatic Operation ◽  
Hcci Engine ◽  
Gas Fuel

scholarly journals E06 Proposal of an Automatic Operation System for Nano Satellites Using Multiple Ground Stations

2014 ◽  
Vol 2014.23 (0) ◽  
pp. _E06-1_-_E06-5_
Author(s):  
Kei Ohta ◽  
Shota Kawajiri ◽  
Kazuyoshi Miyasato ◽  
Masaya Koga ◽  
Yoichi Yatsu ◽  
...  
Keyword(s):  
Operation System ◽  
Automatic Operation

scholarly journals Development of Continuous Automatic Operation System of Two-Roll Mill.

1991 ◽  
Vol 17 (4) ◽  
pp. 709-715
Author(s):  
Masaharu Takao ◽  
Hiromi Otsuka ◽  
Satoru Komori ◽  
Yasuhiro Murakami ◽  
Takanori Endo
Keyword(s):  
Operation System ◽  
Automatic Operation ◽  
Roll Mill

Development of an Automatic Operation System of Overhead Travelling Cranes in Steel Coil Warehouse

1989 ◽  
Vol 22 (11) ◽  
pp. 311-315
Author(s):  
K. Kobayashi ◽  
Y. Kato ◽  
S. Nakano
Keyword(s):  
Operation System ◽  
Automatic Operation ◽  
Steel Coil

Development of Automatic Operation System Considering Steering Performance for a Paddy Field Weeding Robot

2021 ◽  
pp. 357-368
Author(s):  
Hiroaki Uchida ◽  
Seiya Moro ◽  
Kenzi Nomura ◽  
Satoharu Sekine
Keyword(s):  
Paddy Field ◽  
Operation System ◽  
Automatic Operation

Neural modeling of the truck vehicle operation system

2019 ◽  
Vol 126 ◽  
pp. 123-135
Author(s):  
Paulina Owczarek ◽  
Katarzyna Jóźwiak
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Computer Software ◽  
Total Weight ◽  
Neural Modeling ◽  
Operation System ◽  
Maintenance System ◽  
Transport Services ◽  
Artificial Intelligence Methods ◽  
Vehicle Operation

The purpose of the work is to develop a model of a truck maintenance system using artificial intelligence methods. Based on a thorough analysis of the literature, criteria and characteristics have been defined that affect the maintenance system of vehicles. Trucks with a permissible total weight of 3.5 tons were tested, which provide transport services in Poland and constitute a fleet of transport companies from the SME sector. MLP (Multi-Layered Perceptron) neural networks were modeled by using computer software.

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