Characterization of a neural network-based trajectory recognition optical sensor for an automated guided vehicle

2002 ◽  
Author(s):  
G.A. Borges ◽  
A.M.N. Lima ◽  
G.S. Deep
Keyword(s):  
Neural Network ◽  
Optical Sensor ◽  
Automated Guided Vehicle

scholarly journals Study on channel prediction for automated guided vehicle using a probabilistic neural network

2019 ◽  
Vol 8 (8) ◽  
pp. 311-317 ◽  
Author(s):  
Julian Webber ◽  
Norisato Suga ◽  
Abolfazl Mehbodniya ◽  
Kazuto Yano ◽  
Yoshinori Suzuki
Keyword(s):  
Neural Network ◽  
Probabilistic Neural Network ◽  
Automated Guided Vehicle ◽  
Channel Prediction

scholarly journals Efficient characterization of microwave applicator loaded with multilayer dielectric based on neural networks

2010 ◽  
Vol 23 (2) ◽  
pp. 217-226
Author(s):  
Zoran Stankovic ◽  
Bratislav Milovanovic ◽  
Nebojsa Doncov ◽  
Aleksandar Marincic
Keyword(s):  
Neural Network ◽  
Neural Model ◽  
Hardware Platform ◽  
Neural Network Approach ◽  
Frequency Model ◽  
Suggested Approach ◽  
Cavity Configuration ◽  
Microwave Applicator ◽  
Multilayer Dielectric

In this paper, new neural network approach for characterization of cylindrical metallic cavity loaded with multilayer dielectric is suggested. Such cavity configuration has a great importance in realization of microwave resonant applicators, widely used for thermal processing of multilayer materials. Proposed neural model is based on representation of multilayer cavity load via several planparallel homogeneous dielectric slabs and superposition of separate influence of each dielectric slab parameters on the cavity resonant frequency. Model is incorporated into MLP neural network enabling its efficient implementation on modest hardware platform. Suggested approach is verified on the example of circular cylindrical metallic cavity loaded with two-layer dielectric.

scholarly journals 4.1.2 An optical sensor system for characterization of ceramics based on laser speckle photometry

2019 ◽  
Author(s):  
L. Chen ◽  
U. Cikalova ◽  
B. Bendjus ◽  
S. Muench ◽  
M. Roellig
Keyword(s):  
Optical Sensor ◽  
Laser Speckle ◽  
Sensor System
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