Vision Robot Path Control Based on Artificial Intelligence Image Classification and Sustainable Ultrasonic Signal Transformation Technology
Abstract
:1. Introduction
2. Sustainable Artificial Intelligence (SAI) Controller Design
2.1. ART Controller Design
2.2. Supervised Gaussian Adaptive Fuzzy Neural Network (SGAFNN) Controller Design
2.3. Sliding Mode Controller Design
3. Simulation Result
4. Practical Evaluations
5. Conclusions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
Abbreviation | Full text meaning |
ART | Adaptive Resonance Theory |
CNN | Convolution neural network |
PSO | Particle swarm optimization |
SGAFNN | Supervised Gaussian adaptive fuzzy neural network |
AFNN | Adaptive Fuzzy neural network |
FNN | Fuzzy neural network |
SC | Sliding mode controller |
SAI | Sustainable artificial intelligence |
SFNN | Sliding mode fuzzy neural network |
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Step 1 | Set the initial network weightings. |
Step 2 | Enter the vector values of the training data. |
Step 3 | Calculate the match values for all categories of existing classifications. |
Step 4 | Find the one with the largest matching value and calculate its similarity value with this category. |
Step 5 | If it exceeds the similarity value, it belongs to this category, otherwise, it is a new generated category. |
Step 6 | Return to step 2, repeat the calculation of all input data until they are finished and stop the calculation of the program. |
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Mon, Y.-J. Vision Robot Path Control Based on Artificial Intelligence Image Classification and Sustainable Ultrasonic Signal Transformation Technology. Sustainability 2022, 14, 5335. https://doi.org/10.3390/su14095335
Mon Y-J. Vision Robot Path Control Based on Artificial Intelligence Image Classification and Sustainable Ultrasonic Signal Transformation Technology. Sustainability. 2022; 14(9):5335. https://doi.org/10.3390/su14095335
Chicago/Turabian StyleMon, Yi-Jen. 2022. "Vision Robot Path Control Based on Artificial Intelligence Image Classification and Sustainable Ultrasonic Signal Transformation Technology" Sustainability 14, no. 9: 5335. https://doi.org/10.3390/su14095335