Treść książki
Przejdź do opcji czytnikaPrzejdź do nawigacjiPrzejdź do informacjiPrzejdź do stopki
Chapter3:SpamEmailDetectionUsingNeuralNetworkLearningTechniques
(PiotrŚwitalski,MateuszKopówka)
3.1.Introduction
3.2.Methodsofspamdetecting
3.3.Classificationmethods
3.3.1.LinearRegression
3.3.2.LogisticRegression
3.3.3.NaiveBayesclassifier
3.3.4.K-NearestNeighbors
3.3.5.SupportVectorMachines
3.3.6.Perceptron
3.4.TextNormalization
3.4.1.Stopwords
3.4.2.Stemming
3.4.3.Tokenization
3.4.4.N-grams
3.5.Performanceevaluationmeasures
3.6.Conceptofthesolution
3.7.Experimentalresults
3.8.Conclusion
References
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Chapter4:ModelingoftheDay-AheadMarketonthePolishPowerExchange
ontheExampleofSelectedNeuralNetworks(DariuszRuciński)
4.1.Introduction
4.2.Formulationoftheresearchproblem
4.3.TheoreticalfoundationsoftheconstructionofanANN
4.4.Simplegradientalgorithm
4.5.MethodsofteachingtheArtificialNeuralNetwork
4.6.SelectedANNarchitectures
4.6.1.PerceptronArtificialNeuralNetwork
4.6.2.RadialArtificialNeuralNetwork
4.6.3RecursiveArtificialNeuralNetwork
4.7.Descriptionoftheperformedresearch
4.8.Conclusion
References
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