عنوان

Feedforward neural network methodology /

شابک

0387226494

شابک

1280010592

شابک

6610010595

شابک

9780387226491

شابک

9781280010590

شابک

9786610010592

شابک اشتباه

0387987452

شابک اشتباه

9780387987453

شماره

b772026

عنوان اصلي

Feedforward neural network methodology /

نام عام مواد

[Book]

نام نخستين پديدآور

Terrence L. Fine.

محل نشرو پخش و غیره

New York :

نام ناشر، پخش کننده و غيره

Springer,

تاریخ نشرو بخش و غیره

©1999.

نام خاص و کميت اثر

1 online resource (xvi, 340 pages) :

ساير جزييات

illustrations

عنوان فروست

Statistics for engineering and information science

متن يادداشت

Includes bibliographical references (pages 309-327) and index.

متن يادداشت

Cover -- Preface -- Table of Contents -- List of Figures -- 1. Objectives, Motivation, Background, and Organization -- 2. Perceptrons-Networks with a Single Node -- 3. Feedforward Networks I: Generalities and LTU Nodes -- 4. Feedforward Networks II: Real-Valued Nodes -- 5. Algorithms for Designing Feedforward Networks -- 6. Architecture Selection and Penalty Terms -- 7. Generalization and Learning -- Appendix A -- A Note on Use as a Text -- References.

بدون عنوان

0

متن يادداشت

This monograph provides a thorough and coherent introduction to the mathematical properties of feedforward neural networks and to the computationally intensive methodology that has enabled their highly successful application to complex problems of pattern classification, forecasting, regression, and nonlinear systems modeling. The reader is provided with the information needed to make practical use of the powerful modeling and design tool of feedforward neural networks, as well as presented with the background needed to make contributions to several research frontiers. This work is therefore of interest to those in electrical engineering, operations research, computer science, and statistics who would like to use nonlinear modeling of stochastic phenomena to treat problems of pattern classification, forecasting, signal processing, machine intelligence, and nonlinear regression. T.L. Fine is Professor of Electrical Engineering at Cornell University.

عنوان

Feedforward neural network methodology.

موضوع مستند نشده

Feedforward control systems.

موضوع مستند نشده

Neural networks (Computer science)

موضوع مستند نشده

Réseaux neuronaux (Informatique)

موضوع مستند نشده

COMPUTERS-- Neural Networks.

موضوع مستند نشده

Feedforward control systems.

موضوع مستند نشده

Neural networks (Computer science)

موضوع مستند نشده

COM-- 044000

موضوع مستند نشده

TJFM1

موضوع مستند نشده

UYQ

شماره

ويراست

شماره رده

نشانه اثر

مستند نام اشخاص تاييد نشده

Fine, Terrence L.

تاريخ عمليات

20201206175112.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y