Nonlinear Dynamical Systems: Feedforward Neural Network Perspectives
- 作者
- 出版社 Wiley-Interscience
- 出版时间 2001年2月 第1版
- ISBN 9780471349112
- 定价 1795.50
内容简介
Thefirsttrulyup-to-datelookatthetheoryandcapabilitiesofnonlineardynamicalsystemsthattaketheformoffeedforwardneuralnetworkstructuresConsideredoneofthemostimportanttypesofstructuresinthestudyofneuralnetworksandneural-likenetworks,feedforwardnetworksincorporatingdynamicalelementshaveimportantpropertiesandareofuseinmanyapplications.Specializinginexperientialknowledge,aneuralnetworkstoresandexpandsitsknowledgebaseviastrikinglyhumanroutes-throughalearningprocessandinformationstorageinvolvinginterconnectionstrengthsknownassynapticweights.InNonlinearDynamicalSystems:FeedforwardNeuralNetworkPerspectives,sixleadingauthoritiesdescriberecentcontributionstothedevelopmentofananalyticalbasisfortheunderstandinganduseofnonlineardynamicalsystemsofthefeedforwardtype,especiallyintheareasofcontrol,signalprocessing,andtimeseriesanalysis.Movingfromanintroductorydiscussionofthedifferentaspectsoffeedforwardneuralnetworks,thebookthenaddresses:*Classificationproblemsandtherelatedproblemofapproximatingdynamicnonlinearinput-outputmaps*Thedevelopmentofrobustcontrollersandfilters*Thecapabilityofneuralnetworkstoapproximatefunctionsanddynamicsystemswithrespecttorisk-sensitiveerror*SegmentingatimeseriesItthenshedslightontheapplicationoffeedforwardneuralnetworkstospeechprocessing,summarizingspeech-relatedtechniques,andreviewingfeedforwardneuralnetworksfromtheviewpointoffundamentaldesignissues.Anup-to-dateandauthoritativelookattheever-wideningtechnicalboundariesandinfluenceofneuralnetworksindynamicalsystems,thisvolumeisanindispensableresourceforresearchersinneuralnetworksandareferencestapleforlibraries.
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