The book "Data Pre-processing Methods and their impact on ANN" provides a comprehensive analysis of various data pre-processing techniques and their influence on the accuracy of predictions made with Artificial Neural Networks (ANN). It discusses how noisy and non-stationary data, which often occur in time series analyses, can impair the performance of ANN. The author, Aniruddha Banhatti, highlights the challenges in selecting the optimal configuration of an ANN and presents methods for validating results using different criteria. By applying experimental and test sets as well as randomization, it ensures that the techniques presented are applicable even under extreme conditions. This specialized book is aimed at professionals and students who wish to gain a deeper understanding of the importance of data pre-processing in ANN analysis.