Neural Network Data Analysis Using Simulnet™ - Tapa blanda

Sinopsis

Scope of this Text.- What Is Expected from the Reader.- An Outline.- Computer Requirements.- 1 The Simulnet Desktop.- Desktop Components.- 2 Data Analysis.- The Substantive Question.- Neural Network Analysis.- Genetic Algorithms and Neural Networks.- The Probabilistic Network.- The Vector Quantizer Network.- Assessing the Significance of Network Results.- Network Application Examples.- Fractal Dimension Analysis.- Fourier Analysis.- Eigenvalue Analysis.- Coherence and Phase Analysis.- Mutual Information Analysis.- Correlation and Covariance Analysis.- 3 Acquiring and Conditioning Network Data.- Data Specification.- Data Collection.- Data Inspection.- Data Conditioning.- Detrend-Order 0.- Standardize Columns.- Frequency Filtering.- Principal Component Analysis.- Principal Component Data Reduction.- 4 A Data Analysis Protocol.- A Preprocessing Checklist.- Analyzing Experimental Data.

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