文件名称:CPPNeuralLibrary

  • 所属分类:
  • Windows编程
  • 资源属性:
  • [C/C++] [源码]
  • 上传时间:
  • 2012-11-26
  • 文件大小:
  • 9.35mb
  • 下载次数:
  • 0次
  • 提 供 者:
  • lq***
  • 相关连接:
  • 下载说明:
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介绍说明--下载内容均来自于网络,请自行研究使用

用CPP面向对象思想实现的神经网络算法,从国外某大学网站下载的,内有使用案例及详细的说明文档。-Achieved with the CPP object oriented neural network algorithm, from a foreign university website, and within the use cases and detailed documentation.
(系统自动生成,下载前可以参看下载内容)

下载文件列表

Applications\AircraftLandingProblemApplication.cpp

............\AirfoilSelfNoiseApplication.cpp

............\BrachistochroneProblemApplication.cpp

............\CarProblemApplication.cpp

............\CatenaryProblemApplication.cpp

............\ConjugateGradientApplication.cpp

............\DeJongFunctionApplication.cpp

............\EvolutionaryAlgorithmApplication.cpp

............\FedBatchFermenterProblemApplication.cpp

............\GeodesicProblemApplication.cpp

............\GradientDescentApplication.cpp

............\InputTargetDataSetApplication.cpp

............\IsoperimetricProblemApplication.cpp

............\LinearRegressionAnalysisApplication.cpp

............\LogicalOperatorsApplication.cpp

............\MeanSquaredErrorApplication.cpp

............\MinimumDragProblemApplication.cpp

............\MultilayerPerceptronApplication.cpp

............\NormalizedSquaredErrorApplication.cpp

............\PerceptronApplication.cpp

............\PimaIndiansDiabetesApplication.cpp

............\PlaneCylinderApplication.cpp

............\PrecipitateDissolutionModelingApplication.cpp

............\QuasiNewtonMethodApplication.cpp

............\RandomSearchApplication.cpp

............\RastriginFunctionApplication.cpp

............\RosenbrockFunctionApplication.cpp

............\SinusProblemApplication.cpp

............\SumSquaredErrorApplication.cpp

............\TemplateApplication.cpp

............\VectorAndMatrixApplication.cpp

............\YachtResistanceApplication.cpp

Data\AircraftLandingProblem\MultilayerPerceptron.dat

....\......................\Results.dat

....\...foilSelfNoise\LinearRegressionAnalysis.dat

....\................\MultilayerPerceptron.dat

....\................\NASAInputTargetDataSet.dat

....\................\TestingDataSet.dat

....\................\TrainingDataSet.dat

....\................\ValidationDataSet.dat

....\BrachistochroneProblem\InitialGuessBrachistochroneProblem.dat

....\......................\MultilayerPerceptron.dat

....\......................\ResultsBrachistochroneProblem.dat

....\......................\TrainingHistoryBrachistochroneProblem.dat

....\CarProblem\InitialGuessCarProblem.dat

....\..tenaryProblem\InitialGuessCatenaryProblem.dat

....\.onjugateGradient\InputTargetDataSet.dat

....\.................\TrainingHistory.dat

....\DeJongFunction\MultilayerPerceptron.dat

....\..............\TrainingHistory.dat

....\EvolutionaryAlgorithm\InputTargetDataSet.dat

....\.....................\TrainingHistory.dat

....\FedBatchFermenterProblem\InitialGuessFedBatchFermenter.dat

....\GeodesicProblem\InitialGuessGeodesicProblem.dat

....\...............\MultilayerPerceptronGeodesicProblem.dat

....\...............\ResultsGeodesicProblem.dat

....\...............\TrainingHistoryGeodesicProblem.dat

....\.radientDescent\GradientDescentTrainingHistory.dat

....\...............\InputTargetDataSet.dat

....\InputTargetDataSet\InputTargetDataSet.dat

....\.soperimetricProblem\InitialGuessIsoperimetricProblem.dat

....\LinearRegressionAnalysis\InputTargetDataSet.dat

....\........................\LinearRegressionAnalysis.dat

....\.ogicalOperations\InputTargetDataSet.dat

....\.................\MultilayerPerceptron.dat

....\MeanSquaredError\InputTargetDataSet.dat

....\.inimumDragProblem\InitialGuessMinimumDragProblem.dat

....\.ultilayerPerceptron\MultilayerPerceptron.dat

....\NormalizedSquaredError\InputTargetDataSet.dat

....\PimaIndiansDiabetes\InputTargetDataSet.dat

....\...................\MultilayerPerceptron.dat

....\...................\TrainingDataSet.dat

....\...................\TrainingHistory.dat

....\...................\UCI\costs\Index

....\...................\...\.....\pima-indians-diabetes.cost

....\...................\...\.....\pima-indians-diabetes.delay

....\...................\...\.....\pima-indians-diabetes.expense

....\...................\...\.....\pima-indians-diabetes.group

....\...................\...\.....\pima-indians-diabetes.README

....\...................\...\Index

....\...................\...\pima-indians-diabetes.data

....\...................\...\pima-indians-diabetes.names

....\...................\...\Pima-Indi

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