Advances in Neural Networks – ISNN 2020

Discover the latest advancements in neural networks with Advances in Neural Networks – ISNN 2020, edited by Min Han. This first edition, published by Springer Nature Switzerland AG in 2020, features 284 pages of cutting-edge research presented at the 17th International Symposium on Neural Networks, held in Cairo, Egypt. Inside, you will find 24 rigorously reviewed papers selected from 39 submissions, organized into key topical sections, including optimization algorithms. This comprehensive volume is essential for researchers and professionals in the field of artificial intelligence and machine learning, providing valuable insights and innovative approaches to neural network applications. Enhance your understanding of the latest trends and methodologies in neural networks by adding this indispensable resource to your collection.