PREDICTION MODELS BASED ON MACHINE LEARNING APPROACH

Author : A. RONALD DONI

part of The Research Monograph Series in Computing, Electrical & Communication Networks book series

Notes

Researchers have contributed to the development of effective prediction mechanisms over the years. Last two and half decades provided more breakthroughs in deep learning and machine learning methods. These methods have provided new dimension and perspective of developing prediction models. Artificial Neural networks design and development was a key aspect in the evolution of these learning algorithms. Mc-Culloch Pitt, Rosenblat and Kohonen made valuable contributions for the evolution of these neural network based designs and training. This chapter provides insights into these models along with the knowledge related to intelligent algorithms, which are also good enough for the prediction. Information pertinent to modern optimization algorithms and their potential features are provided in this chapter (Alizadehsani et al., 2021).

Read Full Chapter

Author information

Author and Affliation

A. RONALD DONI

Copyright information

@2024 BOHR Publishers