Neural Evolution
Neural evolution refers to the process by which neural networks, which are a set of algorithms modeled after the human brain, evolve and adapt over time through a combination of genetic algorithms and artificial intelligence techniques. This process allows neural networks to continuously improve their performance and efficiency by adjusting connections between neurons based on feedback from their environment. Neural evolution is a key concept in the field of artificial intelligence and machine learning, as it enables machines to learn and develop complex behaviors and decision-making abilities without explicit programming.