Machine Learning Methods for Engineering Application Development

Algorithm For Intelligent Systems

Author(s): Pratik Dhoke*, Pranay Saraf, Pawan Bhalandhare, Yogadhar Pandey, H.R. Deshmukh and Rahul Agrawal

Pp: 19-30 (12)

DOI: 10.2174/9879815079180122010005

* (Excluding Mailing and Handling)


In the 21st-century, machines are becoming more and more intelligent. Terms like artificial intelligence, automation, robotics, etc., are becoming the new normal in today's tech-savvy world. All of this is made possible because of complex programs (algorithms) which are able to perform such difficult tasks.

Intelligent systems are self-taught machines intended for a particular task. Intelligence is the ability to learn and use new information and skills. As the person learns from past data, the system can be programmed using various algorithms to make it intelligent.

In this chapter, we will be discussing some of the algorithms in brief, like- Reinforcement learning, Game theory, Machine Learning, Decision Tree, Artificial Neural Networks, Swarm Intelligence, and Natural Language Processing and its applications.

Keywords: Algorithm, Clustering, Game Theory, Machine Learning, Neural Network, Regression, Reinforcement Learning, Swarm Intelligent, Swarm Robots.

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