The Special Collection "Advances in Computational Intelligence: Neural Networks, Complex Systems, and Nonlinear Dynamics" seeks to showcase cutting-edge research at the intersection of computational intelligence with neural networks, complex systems, and nonlinear dynamics. This collection invites manuscripts that address innovative methodologies, applications, and theories in areas such as deep learning, artificial neural networks, computational models of complex systems, nonlinear dynamics, and their applications in diverse fields including artificial intelligence, robotics, optimization, and pattern recognition. We encourage submissions that delve into advanced algorithms, novel architectures, and interdisciplinary approaches, particularly those that tackle real-world challenges in system modeling, prediction, and optimization. Studies focusing on the integration of computational intelligence with other scientific domains and the development of scalable, efficient models will also be highly valued.

Neural networks, deep learning, complex systems, nonlinear dynamics, computational models, artificial intelligence, optimization, pattern recognition, advanced algorithms, system modeling, interdisciplinary approaches, scalable models.