Mohlo by se vám také líbit

Více informací o knize Neural Dynamics for Time-varying Problems

• Parametry knihy
• Anotace
• Oblíbené z jiného soudku

Nákupem získáte 424 bodů

Anotace knihy

This book mainly presents methods based on neural dynamics for the time-varying problems with applications, together with the corresponding theoretical analysis, simulative examples, and physical experiments. Based on these methods, their applications include motion planning of redundant manipulators, filter design, winner-take-all operation, multiple-input multiple-output system configuration, multi-linear tensor equation solving, and manipulability optimization are also presented. In this book, we present the design, proposal, development, analysis, modeling, and simulation of various neural dynamic models, along with their respective applications including motion planning of redundant manipulators, filter design, winner-take-all operation, multiple-input multiple-output system configuration, multi-linear tensor equation solving, and manipulability optimization. Specifically, starting from the top-level considerations of hardware implementation, we integrate computational intelligence methods and control theory to design a series of dynamic and noise-resistant discrete neural dynamic methods. The research work not only owns the theoretical guarantee on its convergence, noise resistance, and accuracy, but demonstrate the effectiveness and robustness in solving various optimization and equation solving problems, particularly in handling time-varying problems and noise perturbations. Moreover, by reducing complexity and avoiding matrix inversion operations, the models' feasibility and practicality are further enhanced.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Neural Dynamics for Time-varying Problems
• Podnázev: Advances and Applications
• Autor: Long Jin, Lin Wei, Xin Lv
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 239
• EAN: 9783031685934
• ID: 46549931
• Nakladatelství: Springer, Berlin
• Hmotnost: 444 g
• Rozměry: 235 × 155 mm
• Rok vydání: 2024

Oblíbené z jiného soudku

---

---

---