Fusion of Computational Intelligence Techniques and Their Practical Applications

An introduction to computational intelligence techniques for robot control

The application of computational intelligence techniques to the field of industrial robot control is discussed. The core ideas behind using neural computation, evolutionary computation, and fuzzy logic techniques are presented, along with a selection of specific real-world applications. Their practical advantages and disadvantages relative to more traditional approaches are made clear.

The machine learning process in applying spatial relations of residential plans based on samples and adjacency matrix

The current world is moving towards the development of hardware or software presence of artificial intelligence in all fields of human work, and architecture is no exception. Now this research seeks to present a theoretical and practical model of intuitive design intelligence that shows the problem of learning layout and spatial relationships to artificial intelligence algorithms; Therefore, th...

Computational Intelligence Based Regression Techniques and Their Applications in Process Engineering Computational Intelligence Based Regression Techniques and Their Applications in Process Engineering

Sports Result Prediction Based on Machine Learning and Computational Intelligence Approaches: A Survey

In the current world, sports produce considerable statistical information about each player, team, games, and seasons. Traditional sports science believed science to be owned by experts, coaches, team managers, and analyzers. However, sports organizations have recently realized the abundant science available in their data and sought to take advantage of that science through the use of data mini...

Technology Transfer of Computational Intelligence for Manufacturing Process Control

New techniques from computational intelligence have attracted the interest of manufacturing researchers in academia, government and industry. These techniques include artificial neural networks, fuzzy logic and evolutionary computing. While these computational techniques inspired by nature have shown promise in many manufacturing applications such as robotics, machine vision, process control, p...