[MATLAB图书合集].neural_network_design_m.hagan.

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1、ContentsPreface1IntroductionObjectives1-1History1-2Applications1-5BiologicalInspiration1-8FurtherReading1-102NeuronModelandNetworkArchitecturesObjectives2-1TheoryandExamples2-2Notation2-2NeuronModel2-2Single-InputNeuron2-2TransferFunctions2-3Multiple-InputNeuron2-7NetworkArchitectures2

2、-9ALayerofNeurons2-9MultipleLayersofNeurons2-10RecurrentNetworks2-13SummaryofResults2-16SolvedProblems2-20Epilogue2-22Exercises2-23iAnIllustrativeExample3Objectives3-1TheoryandExamples3-2ProblemStatement3-2Perceptron3-3Two-InputCase3-4PatternRecognitionExample3-5HammingNetwork3-8Feedfo

3、rwardLayer3-8RecurrentLayer3-9HopfieldNetwork3-12Epilogue3-15Exercise3-164PerceptronLearningRuleObjectives4-1TheoryandExamples4-2LearningRules4-2PerceptronArchitecture4-3Single-NeuronPerceptron4-5Multiple-NeuronPerceptron4-8PerceptronLearningRule4-8TestProblem4-9ConstructingLearningRul

4、es4-10UnifiedLearningRule4-12TrainingMultiple-NeuronPerceptrons4-13ProofofConvergence4-15Notation4-15Proof4-16Limitations4-18SummaryofResults4-20SolvedProblems4-21Epilogue4-33FurtherReading4-34Exercises4-36iiSignalandWeightVectorSpaces5Objectives5-1TheoryandExamples5-2LinearVectorSpace

5、s5-2LinearIndependence5-4SpanningaSpace5-5InnerProduct5-6Norm5-7Orthogonality5-7Gram-SchmidtOrthogonalization5-8VectorExpansions5-9ReciprocalBasisVectors5-10SummaryofResults5-14SolvedProblems5-17Epilogue5-26FurtherReading5-27Exercises5-286LinearTransformationsforNeuralNetworksObjective

6、s6-1TheoryandExamples6-2LinearTransformations6-2MatrixRepresentations6-3ChangeofBasis6-6EigenvaluesandEigenvectors6-10Diagonalization6-13SummaryofResults6-15SolvedProblems6-17Epilogue6-28FurtherReading6-29Exercises6-30iiiSupervisedHebbianLearning7Objectives7-1TheoryandExamples7-2Linear

7、Associator7-3TheHebbRule7-4PerformanceAnalysis7-5PseudoinverseRule7-7Application7-10VariationsofHebbianLearning7-12SummaryofResults7-14SolvedProblems7-16Epilogue7-29FurtherReading7-30Exercises7-318PerformanceSurfacesandOptimumPointsObjectives8-1TheoryandExamples8-2TaylorSeries8-2Vect