Rider Optimization Algorithm
Version 1.0.0 (2.39 KB) by
Binu D
A new optimization algorithm, named, rider optimization algorithm (ROA) is based on a group of riders, , racing toward a target location.
A new optimization algorithm, named, rider optimization algorithm (ROA) is developed. The development of ROA is based on a group of riders, racing toward a target location. Moreover, a classifier, termed RideNN, is developed by including the proposed algorithm as the training algorithm for the neural network (NN).
Cite As
Binu, D., and B. S. Kariyappa. “RideNN: A New Rider Optimization Algorithm-Based Neural Network for Fault Diagnosis in Analog Circuits.” IEEE Transactions on Instrumentation and Measurement, vol. 68, no. 1, Institute of Electrical and Electronics Engineers (IEEE), Jan. 2019, pp. 2–26, doi:10.1109/tim.2018.2836058.
MATLAB Release Compatibility
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R2018a
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- AI and Statistics > Deep Learning Toolbox > Train Deep Neural Networks > Function Approximation, Clustering, and Control > Function Approximation and Clustering > Pattern Recognition >
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| Version | Published | Release Notes | |
|---|---|---|---|
| 1.0.0 |
