In this chapter, we've seen an interesting practical application of neural networks. Weather forecasting has always been a rich research field, and indeed, neural networks are widely used for these tasks. In this chapter, the reader also learned how to prepare similar experiments for prediction problems. The correct application of techniques for data selection and preprocessing can save a considerable amount of time while designing a neural network for the prediction. This chapter also serves as a foundation for the following chapters, since all of them will focus on practical cases, so the concepts learned here will be explored widely in the rest of the book.

In the next chapter we will cover classification tasks, which is another common research field where neural networks can be used. Two case studies will be presented, covering the whole process on how neural networks are built for disease diagnosis.