Statistical Field Theory for Neural Networks
2091 Kč
Odesíláme do 1 až 2 týdnů
Sleva až 70% u třetiny knih
This book presents a self-contained introduction to techniques from field theory applied to stochastic and collective dynamics in neuronal networks.
Autor: | Helias, Moritz; Dahmen, David |
Nakladatel: | Springer Nature Switzerland AG |
ISBN: | 9783030464431 |
Rok vydání: | 2020 |
Jazyk : | Angličtina |
Vazba: | Paperback / softback |
Počet stran: | 203 |
Mohlo by se vám také líbit..
-
Computer Meets Theoretical Physics
Battimelli, Giovanni; Ciccotti, Giovanni; Greco, Pietro
-
Quantum Computing: An Applied Approach
Hidary, Jack D.
-
Internet of Things Security and Data...
-
Core Data Analysis: Summarization, C...
Mirkin, Boris
-
Database Design and Implementation
Sciore, Edward
-
Internet Computing
-
Introduction to Quantum Computing
LaPierre, Ray
-
The Python Workbook
Jenkyns, Tom; Stephenson, Ben
-
Augmented Reality Games II
-
Guide to Teaching Computer Science
Hazzan, Orit; Dubinsky, Yael
-
The Discrete Math Workbook
Kurgalin, Sergei; Borzunov, Sergei
-
Primer for Data Analytics and Gradua...
Wolfe, Douglas A.
-
How Transistor Area Shrank by 1 Mill...
Tigelaar, Howard
-
Build Your Own Blockchain
Schwarz, Stephen; Lathrope, Daniel J.; Hellwig, Brant J.
-
Fundamentals of Music Processing
Muller, Meinard
-
Deep Learning Architectures
Calin, Ovidiu; Chang, Der-Chen; Furutani, Kenro; Iwasaki, Chisato