Store besparelser
Hurtig levering
Gemte
Log ind
0
Kurv
Bøger
Bestsellers
Kommer snart
Nyheder
Spil og hobby
Hjem
Kategorier
Bestsellers
Kommer snart
Nyheder
FAQ
Konto
Kontakt
Kurv
  1. Bog
  2. Anvendt matematik
  3. Matematisk modellering

Neural Networks and Statistical Learning

Af: Ke-Lin Du, M. N. S. Swamy Engelsk Paperback

Neural Networks and Statistical Learning

Af: Ke-Lin Du, M. N. S. Swamy Engelsk Paperback
Tjek vores konkurrenters priser

This book provides a broad yet detailed introduction to neural networks and machine learning in a statistical framework. A single, comprehensive resource for study and further research, it explores the major popular neural network models and statistical learning approaches with examples and exercises and allows readers to gain a practical working understanding of the content. This updated new edition presents recently published results and includes six new chapters that correspond to the recent advances in computational learning theory, sparse coding, deep learning, big data and cloud computing.

Each chapter features state-of-the-art descriptions and significant research findings. The topics covered include:

• multilayer perceptron;
• the Hopfield network;
• associative memory models;• clustering models and algorithms;
• t he radial basis function network;
• recurrent neural networks;
• nonnegative matrix factorization;
• independent component analysis;
•probabilistic and Bayesian networks; and
• fuzzy sets and logic.

Focusing on the prominent accomplishments and their practical aspects, this book provides academic and technical staff, as well as graduate students and researchers with a solid foundation and comprehensive reference on the fields of neural networks, pattern recognition, signal processing, and machine learning.

Vis mere
Tjek vores konkurrenters priser
Normalpris
kr 907
Fragt: 39 kr
6 - 8 hverdage
20 kr
Pakkegebyr
God 4 anmeldelser på
Tjek vores konkurrenters priser

This book provides a broad yet detailed introduction to neural networks and machine learning in a statistical framework. A single, comprehensive resource for study and further research, it explores the major popular neural network models and statistical learning approaches with examples and exercises and allows readers to gain a practical working understanding of the content. This updated new edition presents recently published results and includes six new chapters that correspond to the recent advances in computational learning theory, sparse coding, deep learning, big data and cloud computing.

Each chapter features state-of-the-art descriptions and significant research findings. The topics covered include:

• multilayer perceptron;
• the Hopfield network;
• associative memory models;• clustering models and algorithms;
• t he radial basis function network;
• recurrent neural networks;
• nonnegative matrix factorization;
• independent component analysis;
•probabilistic and Bayesian networks; and
• fuzzy sets and logic.

Focusing on the prominent accomplishments and their practical aspects, this book provides academic and technical staff, as well as graduate students and researchers with a solid foundation and comprehensive reference on the fields of neural networks, pattern recognition, signal processing, and machine learning.

Vis mere
Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 988
ISBN-13: 9781447174547
Indbinding: Paperback
Udgave:
ISBN-10: 1447174542
Kategori: Matematisk modellering
Udg. Dato: 25 sep 2020
Længde: 0mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer London Ltd
Oplagsdato: 25 sep 2020
Forfatter(e): Ke-Lin Du, M. N. S. Swamy
Forfatter(e) Ke-Lin Du, M. N. S. Swamy

Kategori Matematisk modellering

ISBN-13 9781447174547

Sprog Engelsk

Indbinding Paperback

Sider 988

Udgave

Længde 0mm

Bredde 155mm

Højde 235mm

Udg. Dato 25 sep 2020

Oplagsdato 25 sep 2020

Forlag Springer London Ltd

Kategori sammenhænge