Nowadays, AI and Machine Learning are dynamic field in Computer Science. Many researchers are doing the research in the mentioned field. How the chaos technique are connected in the mentioned field. Is there any research papers are published before.
Chaos Theory is the study of complex, usually non-linear systems, which are highly sensitive to initial conditions and alterations in state, and have complex interactions, mixing, non-periodicity and feedback loops, which result in rapidly evolving irregular and often unexpected behavior, which is unpredictable. However there are underlying order and patterns beneath that disorder, but it is said to be unpredictable. The prediction rapidly becomes harder as you try to predict farther into the future. Sometimes apparently simpler systems exhibit chaos too.
Brem Navas Chaos theory is a branch of mathematics that studies the behavior of dynamic systems that are highly sensitive to initial conditions, also known as the butterfly effect. In the field of artificial intelligence and machine learning, chaos theory has been used to study the behavior of neural networks and optimize their performance.
Brem Navas There have been several research papers published on the use of chaos theory in artificial intelligence and machine learning. One example is a paper published in 2002 titled "Chaos Theory and Neural Networks" which explores the use of chaos theory to improve the training and generalization performance of neural networks. Another example is a paper published in 2015 titled "Application of Chaos Theory to Neural Networks" which discusses the use of chaos theory to improve the robustness and stability of neural networks.
Brem Navas It is worth noting that while chaos theory has been applied to the field of artificial intelligence and machine learning, it is just one of many techniques that researchers use in this field. There are many other techniques and approaches being used to advance the state of the art in AI and machine learning.
Dear Brem Navas I’d like to highlight that a chaotich approach use in autoencoders and GANs as input noises images for synthesis different outcomes pictures