[TBD]Role of soft computing in machine learning

Introduction

Laymen explanation

The role model for soft computing is the human mind. The techniques of soft computing are nowadays being used successfully in many domestic, commercial, and industrial applications.

Technical explanation

Soft computing is based on techniques such as fuzzy logic, genetic algorithms, artificial neural networks, machine learning, and expert systems.

Attributes of soft computing

Soft computing deals with issues with tolerance levels like uncertainty, imprecision, partial truth, etc.

So, Soft computing can handle ambiguous and noisy data.

Role in machine learning

Relevance with neural networks

Reference

https://youtu.be/MLlk6h692BQ

https://www.sciencedirect.com/science/article/pii/S1877050916325467

https://medium.com/@rmsrn.85/what-is-soft-computing-and-its-applications-and-techniques-643470228dc6

https://www.tutorialspoint.com/difference-between-ai-and-soft-computing