Cellular Neural Networks

Cellular Neural Networks (CNNs) are a type of computing model inspired by the way biological neurons function. They consist of a grid of interconnected cells, each cell processing information and influencing its neighbors. This structure allows CNNs to efficiently handle complex tasks like image processing and pattern recognition. Instead of using traditional algorithms, they adaptively learn from data, making them powerful for tasks such as object detection and image enhancement. Their design mimics how our brain processes visual information, enabling faster and more effective analysis of visual data.