Computational intelligence is a subfield of artificial intelligence (AI) that is concerned with the development and application of algorithms and systems that can learn and adapt to their environment in a flexible and dynamic way. This includes techniques such as neural networks, fuzzy systems, and evolutionary algorithms, which are designed to be robust and adaptive, and to handle uncertainty and complex data in a natural and intuitive way.
The main goal of computational intelligence is to develop algorithms and systems that can learn and adapt to their environment in a flexible and dynamic way, in order to solve real-world problems that are too complex or too uncertain to be solved by traditional AI methods. This can be useful for a wide range of applications, such as speech recognition, image classification, and predictive maintenance, where the goal is to make accurate predictions or inferences based on the data.
Overall, computational intelligence is a subfield of AI that is concerned with the development and application of algorithms and systems that can learn and adapt to their environment in a flexible and dynamic way. This includes techniques such as neural networks, fuzzy systems, and evolutionary algorithms, which are designed to handle uncertainty and complex data in a natural and intuitive way.