C++ Neural Networks and Fuzzy Logic: Preface

ROC10_3MoROC10_BndROC10_ADROC10_HLROC10_SP

0.157320.0840690.502093−0.99658−0.04987

0.1111110.091996−0.08449−0.96611−0.05278

0.0872350.0695530.268589−0.78638−0.04964

0.0558480.0305590.169062−0.84766−0.06888

0.002757−0.01926−0.06503−0.39396−0.04658

−0.10345−0.04430.1833090.468658−0.03743

−0.17779−0.0706−0.1270.689919−0.03041

C++ Neural Networks and Fuzzy Logic:Preface

Highlight Features in the Data

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−0.25496−0.09960.3197350.980756−0.0061

−0.25757−0.09450.2995690.9964610.02229

NOTE:  Note that you don’t get completed rows until 3/28/90, since we have a ROC

indicator dependent on a Block Average value 10 weeks before it. The first block average

value is generated 1/1/80, two weeks after the start of the data set. All of this indicates that

you will need to discard the first 12 values in the dataset to get complete rows, also called

complete facts.