Inicio > Matemáticas y ciencia > Física > Sensitivity Analysis for Neural Networks
Sensitivity Analysis for Neural Networks

Sensitivity Analysis for Neural Networks

Daming Shi / Daniel S. Yeung / Ian Cloete

207,17 €
IVA incluido
Disponible
Editorial:
Springer Nature B.V.
Año de edición:
2012
Materia
Física
ISBN:
9783642261398
207,17 €
IVA incluido
Disponible

Selecciona una librería:

  • Librería Samer Atenea
  • Librería Aciertas (Toledo)
  • Kálamo Books
  • Librería Perelló (Valencia)
  • Librería Elías (Asturias)
  • Donde los libros
  • Librería Kolima (Madrid)
  • Librería Proteo (Málaga)
Sobre IBD

to Neural Networks.- Principles of Sensitivity Analysis.- Hyper-Rectangle Model.- Sensitivity Analysis with Parameterized Activation Function.- Localized Generalization Error Model.- Critical Vector Learning for RBF Networks.- Sensitivity Analysis of Prior Knowledge1.- Applications.

Artículos relacionados

  • INT’L PHYSICS OLYMPIADS (B/H)
    GORZKOWSKI W / W GORZKOWSKI
     This volume is the first international collection of the best physics problems (both theoretical and experimental) given at the national physics competitions for high school students in different countries. The book introduces the short history of the International Physics Olympiad, the Statutes, the Syllabus, the statistical data including complete list of winners and a colle...
  • EVERYDAY PHYSICS
    HOVE MICHEL A VAN / MICHEL A VAN HOVE
    This book aims to popularize physics by emphasizing conceptual ideas of physics and their interconnections, while avoiding mathematics entirely. The approach is to explore intriguing topics of daily relevance by asking and discussing questions: thereby the reader can participate in developing answers, which enables a deeper understanding than is achievable with memorization.The...
  • Zimányi School
    This reprint includes papers that were presented at the Zimányi School Winter Workshop in 2022. This workshop aimed to summarize the developments of 2022 in high-energy heavy-ion physics with particular attention to the new data emerging from the Relativistic Heavy Ion Collider (RHIC), the Large Hadron Collider (LHC) and SPS. The included papers discuss new results in hydrodyna...
  • Advances in Quantum Computing
    The field of quantum information science has seen tremendous progress over the last several years, with advances in both hardware development and novel algorithms. This Special Issue has endeavored to capture some of the technical advances in this rapidly changing field. ...
  • An Introduction to Materials Science
    Héctor L. Mancini / Wenceslao González-Viñas
    Materials science has undergone a revolutionary transformation in the past two decades. It is an interdisciplinary field that has grown out of chemistry, physics, biology, and engineering departments. In this book, González-Viñas and Mancini provide an introduction to the field, one that emphasizes a qualitative understanding of the subject, rather than an intensely mathematica...
  • FUNDAMENTALS OF EQUATIONS OF STATE
    Ajoy Ghata / AJOY GHATAK & ET AL SHALOM ELIEZER / ELIEZER SHALOM / Heinrich Hora / Shalom Eliezer
    The equation of state was originally developed for ideal gases, and proved central to the development of early molecular and atomic physics. Increasingly sophisticated equations of state have been developed to take into account molecular interactions, quantization, relativistic effects, etc.Extreme conditions of matter are encountered both in nature and in the laboratory, for e...

Otros libros del autor

  • Sensitivity Analysis for Neural Networks
    Daming Shi / Daniel S. Yeung / Ian Cloete
    Artificial neural networks are used to model systems that receive inputs and produce outputs. The relationships between the inputs and outputs and the representation parameters are critical issues in the design of related engineering systems, and sensitivity analysis concerns methods for analyzing these relationships. Perturbations of neural networks ...