Performance Analysis of Wireless Connected Robotic Swarms
Change affirmation anticipates playing a significant role in this transmission, which is ambiguous given the robot swarms' transmission and goal as well as the special aid provided by the correspondence development. Choosing the best classifier to further promote the portrayal impact has been a major topic of interest because of the variety of current classifiers. In order to do this, this study investigates the application of several classifiers in rule affirmation, selects four classifier families, and runs them on Python. According to the results, the four top classifier families are SVM, CNN, DT, and RF. The strong classifiers created by combining weak classifiers are particularly convincing.
Keywords - Modulation, Python, Machine Learning, Performance Evaluation.