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NeuralNetworksforPatternRecognition.pdf
Forthoseenteringthefieldofartificialneuralnetworks,therehasbeenanacuteneedforanauthoritativetextbookthatexplainsthemainideasclearlyandconsistentlyusingthebasictoolsoflinearalgebra,calculus,andsimpleprobabilitytheory.Therehavebeenmanyattemptstoprovidesuchatext,butuntilnow,nonehassucceeded.Someauthorshavefailedtoseparatethebasicideasandprinciplesfromthesoftandfuzzyintuitionsthatledtosomeofthemodelsaswellastomostoftheexaggeratedclaims.Othershavebeenunwillingtousethebasicmathematicaltoolsthatareessentialforarigorousunderstandingofthematerial.Yetothershavetriedtocovertoomanydifferentkindsofneuralnetworkwithoutgoingintoenoughdepthonanyoneofthem.Themostsuccessfulattempttodatehasbeen"IntroductiontotheTheoryofNeuralComputation"byHertz,KroghandPalmer.Unfortunately,thisbookstartedlifeasagraduatecourseinstatisticalphysicsanditshows.Sodespiteitsmanyadmirablequalitiesitisnotidealasageneraltextbook.
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