An Adaptive Neural Network is a machine learning model that can adjust its parameters, structure, or behavior in response to new data and changing conditions. This enables the network to improve its performance over time without relying entirely on static training data.
Adaptive Neural Networks support greater accuracy, flexibility, and resilience in dynamic environments. They are used in computer vision, robotics, cybersecurity, healthcare, autonomous systems, and predictive analytics. Related technologies include deep learning, reinforcement learning, adaptive AI, and real-time analytics. Related terms include Neural Network, Adaptive AI, Machine Learning, and Deep Learning.
