The Resource Feedforward Neural Network Methodology, by Terrence L. Fine, (electronic resource)

Feedforward Neural Network Methodology, by Terrence L. Fine, (electronic resource)

Label
Feedforward Neural Network Methodology
Title
Feedforward Neural Network Methodology
Statement of responsibility
by Terrence L. Fine
Creator
Author
Author
Subject
Language
  • eng
  • eng
Summary
The decade prior to publication has seen an explosive growth in com- tational speed and memory and a rapid enrichment in our understa- ing of arti?cial neural networks. These two factors have cooperated to at last provide systems engineers and statisticians with a working, prac- cal, and successful ability to routinely make accurate complex, nonlinear models of such ill-understood phenomena as physical, economic, social, and information-based time series and signals and of the patterns h- den in high-dimensional data. The models are based closely on the data itself and require only little prior understanding of the stochastic mec- nisms underlying these phenomena. Among these models, the feedforward neural networks, also called multilayer perceptrons, have lent themselves to the design of the widest range of successful forecasters, pattern clas- ?ers, controllers, and sensors. In a number of problems in optical character recognition and medical diagnostics, such systems provide state-of-the-art performance and such performance is also expected in speech recognition applications. The successful application of feedforward neural networks to time series forecasting has been multiply demonstrated and quite visibly so in the formation of market funds in which investment decisions are based largely on neural network–based forecasts of performance. The purpose of this monograph, accomplished by exposing the meth- ology driving these developments, is to enable you to engage in these - plications and, by being brought to several research frontiers, to advance the methodology itself
Member of
http://library.link/vocab/creatorName
Fine, Terrence L
Dewey number
006.3/2
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut
EWEA0vtwNgw
Language note
English
LC call number
Q334-342
Literary form
non fiction
Nature of contents
dictionaries
Series statement
Information Science and Statistics,
http://library.link/vocab/subjectName
  • Artificial intelligence
  • Statistics
  • Mathematical physics
  • Engineering
  • Artificial Intelligence
  • Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
  • Mathematical Methods in Physics
  • Numerical and Computational Physics, Simulation
  • Complexity
Label
Feedforward Neural Network Methodology, by Terrence L. Fine, (electronic resource)
Instantiates
Publication
Note
Description based upon print version of record
Bibliography note
Includes bibliographical references (p. [309]-327) and index
Carrier category
online resource
Carrier category code
  • cr
Content category
text
Content type code
  • txt
Contents
Objectives, Motivation, Background, and Organization -- Perceptions—Networks with a Single Node -- Feedforward Networks I: Generalities and LTU Nodes -- Feedforward Networks II: Real-Valued Nodes -- Algorithms for Designing Feedforward Networks -- Architecture Selection and Penalty Terms -- Generalization and Learning
Dimensions
unknown
Edition
1st ed. 1999.
Extent
1 online resource (356 p.)
Form of item
online
Isbn
9781280010590
Media category
computer
Media type code
  • c
Other control number
10.1007/b97705
Specific material designation
remote
System control number
  • (CKB)111087027063580
  • (EBL)3035275
  • (SSID)ssj0000153986
  • (PQKBManifestationID)11164498
  • (PQKBTitleCode)TC0000153986
  • (PQKBWorkID)10405841
  • (PQKB)11254567
  • (DE-He213)978-0-387-22649-1
  • (MiAaPQ)EBC3035275
  • (EXLCZ)99111087027063580
Label
Feedforward Neural Network Methodology, by Terrence L. Fine, (electronic resource)
Publication
Note
Description based upon print version of record
Bibliography note
Includes bibliographical references (p. [309]-327) and index
Carrier category
online resource
Carrier category code
  • cr
Content category
text
Content type code
  • txt
Contents
Objectives, Motivation, Background, and Organization -- Perceptions—Networks with a Single Node -- Feedforward Networks I: Generalities and LTU Nodes -- Feedforward Networks II: Real-Valued Nodes -- Algorithms for Designing Feedforward Networks -- Architecture Selection and Penalty Terms -- Generalization and Learning
Dimensions
unknown
Edition
1st ed. 1999.
Extent
1 online resource (356 p.)
Form of item
online
Isbn
9781280010590
Media category
computer
Media type code
  • c
Other control number
10.1007/b97705
Specific material designation
remote
System control number
  • (CKB)111087027063580
  • (EBL)3035275
  • (SSID)ssj0000153986
  • (PQKBManifestationID)11164498
  • (PQKBTitleCode)TC0000153986
  • (PQKBWorkID)10405841
  • (PQKB)11254567
  • (DE-He213)978-0-387-22649-1
  • (MiAaPQ)EBC3035275
  • (EXLCZ)99111087027063580

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