Pattern recognition with neural networks in C++

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1、PatternRecognitionwithNeuralNetworksinC++:TableofContentsPágina1de3PatternRecognitionwithNeuralNetworksinC++byAbhijitS.Pandya,RobertB.ISBN:0849394627MacyCRCPress©1995(410pages)Theadditionofartificialneuralnetworkcomputingtotraditionalpatternrecognitionhasgivenrisetoanew,

2、differentandmorepowerfulmethodologythatispresentedinthisinterestingbook.PatternRecognitionwithNeuralNetworksisapracticalguidetotheapplicationofartificialneuralnetworks.Throughthebook'spresentationofunderlyingtheorytogetherwithpracticalexamples,readersgainavaluableunderst

3、andingthatwillallowthemtomakewell-informeddesignchoices.Formanyoftheneuralnetworkmodelsdiscussed,C++programsarepresentedfortheactualimplementation.Pictorialdiagramsandin-depthdiscussionsexplaineachtopic.FEATURES:Providesacompletecodethatwillassistexperimentaldesign;Cover

4、sneuralnetworkmethodologies;Allowsreaderstomakeawiserdesignchoicewithapredictableandeffectiveneuralapplication;Writteninastyleaccessibletobothnovicesandexperiencedpractitioners.PrefaceAcknowledgmentChapter1—Introduction1.1PatternRecognitionSystems1.2MotivationForArtifici

5、alNeuralNetworkApproach1.3APreludeToPatternRecognition1.4StatisticalPatternRecognition1.5SyntacticPatternRecognition1.6TheCharacterRecognitionProblem1.7OrganizationOfTopicsReferencesAndBibliographyChapter2—NeuralNetworks:AnOverview2.1MotivationforOverviewingBiologicalNeu

6、ralNetworks2.2Background2.3BiologicalNeuralNetworks2.4HierarchicalOrganizationintheBrain2.5HistoricalBackground2.6ArtificialNeuralNetworksReferencesandBibliographyChapter3—Preprocessing3.1General3.2DealingwithInputfromaScannedImage3.3ImageCompression3.3.1ImageCompression

7、Example3.4EdgeDetection3.5Skeletonizing3.5.1ThinningExample3.6DealingwithInputFromaTablet3.7SegmentationReferencesandBibliographyChapter4—Feed-ForwardNetworkswithSupervisedLearning4.1Feed-ForwardMultilayerPerceptron(FFMLP)Architecture4.2FFMLPinC++4.3TrainingwithBackPropa

8、gationfile://C:Documents%20and%20SettingsAConfigurações%20locaisTemp~hh109F.htm19/6/2005PatternRec