COMPARING DIFFERENT COLOUR MODELS USED FOR ANALYSIS OF RADAR DATA
Keywords:
Weather forecasting, Elements, Accuracy, colour modelsAbstract
Researchers have been working for decades todevelop a model that can predict the weather with maximum accuracy using unstructured datasets. People are facing a slew of issues relating to farming, business, and property damage, among many other things, as a result of substantial weather swings. Because of the unpredictability of climatic and atmospheric circumstances, weather forecasting is becoming an increasingly important subject of research. New technology is being developed by scientists. Accurate weather forecasting aids in the avoidance of disasters, the picking of high-yield crops for a given year by farmers, and the preparation of businesses for changing circumstances. With the arrival of the AI and machine learning era, there has been a huge increase in weather research, as well as many models based on these technologies. With the coming of the Artificial Intelligence and Machine Learning era, there is significant growth in weather research. Also many models based on the Artificial Neural Network are developed to predict the accurate weather. These models required a few perplexing mathematical equations. These models study the weather from various aspects and help to get nearly accurate results. In this research we showed the comparison between different models which helps to predict the weather and we tried to figure out which is the best approach to achieve maximum efficiency and compare various parameters of the model like which one will give maximum efficiency, accuracy and data-loss.
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