Neural Computing

TL;DR

This chapter explores neural computing's role in addressing societal problems, highlighting research, neural network types, and applications to inspire innovation and advanced techniques in the field.

Contribution

It provides a comprehensive overview of neural networks, their applications, and societal relevance, encouraging development of new solutions and techniques.

Findings

Overview of neural network types and applications

Discussion of societal problems and neural solutions

Encouragement for innovative research in neural computing

Abstract

This chapter aims to provide next-level understanding of the problems of the world and the solutions available to those problems, which lie very well within the domain of neural computing, and at the same time are intelligent in their approach, to invoke a sense of innovation among the educationalists, researchers, academic professionals, students and people concerned, by highlighting the work done by major researchers and innovators in this field and thus, encouraging the readers to develop newer and more advanced techniques for the same. By means of this chapter, the societal problems are discussed and various solutions are also given by means of the theories presented and researches done so far. Different types of neural networks discovered so far and applications of some of those neural networks are focused on, apart from their theoretical understanding, the working and core concepts involved in the applications.