دانلود کتاب تحلیل پایداری شبکه‌های عصبی و سیستم‌های هوشمند در حال تکامل

The goal of this book is to provide a detailed presentation of the stability of the neural networks and evolving intelligent systems. The neural networks and evolving intelligent systems are very interesting investigation fields, since they have many applications in the prediction and modeling of blending process, population process, brain signals, or eye signals. The neural networks and the evolving intelligent systems are different in one characteristic; however, they are equal in other characteristic. A neural network has the ability to reorganize the model and adapt itself to a changing environment where the structure is static and the parameters learning is dynamic, while an evolving intelligent system has the ability to reorganize the model and adapt itself to a changing environment where both the structure and parameters learning are dynamic and are performed simultaneously. Therefore, the neural networks and the evolving intelligent systems are equal in that in both the parameters learning is dynamic, and they are different in that in one the structure is static and in the other the structure is dynamic. This book is expected to be used primarily by researchers and secondarily by students and in the area of intelligent, control, robotic, energy, biological, mechanical, mechatronic, and computing systems. The suggested use of the book is to be focused on each kind of intelligent system because they are different from each other, Chaps. 1–5 for the stability of the neural networks, Chaps. 6–10 for the stability of the evolving intelligent systems.