How Neural Networks are relevant in Environmental Science?
Nowadays, scientists are using a special computer program called neural networks to solve complex problems. These programs are really helpful in understanding complex problems and giving better solutions easily for the problems we had talked about earlier.
- Pattern Recognition: These neural networks are good at recognizing the patterns in the dataset which is helpful when we want a good quality prediction model.
- Adaptability: These neural networks are like brains, they can learn very fast and adjust to new things easily. We will gather the required data first and then we write the program and check how finely the program works.
Predicting Air Quality with Neural Networks
Air Pollution is the most harmful pollution of all. It is a threat to human health and our environment. Understanding and predicting air quality is crucial to protecting the public’s well-being and saving the environment. By using advanced technologies, we can better understand how pollution affects us and our planet, and take steps to keep the air clean. In this article, we will see how we can predict air quality using a neural network.