C++ Neural Networks and Fuzzy Logic: Preface

BAA/DBAH/LBAClose

1.7393136.791048111.248

1.1651046.825408113.534

0.90282.595189114.632

0.7912951.774902115.426

0.9680211.089539115.436

0.7919530.671892113.792

0.6623270.086916111.288

0.691970.065579108.668

1.6766460.046087105.796

1.5379790.033767103.494

1.7946320.095836102.872

1.8792320.122779101.896

1.951940.211929102.466

1.1319950.581032103.446

1.0378930.652239103.96

0.9932111.94017104.672

1.3927197.110902106.686

1.2227577.01616585.654

0.9932646.64473764.538

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Copyright ©

 IDG Books Worldwide, Inc.

C++ Neural Networks and Fuzzy Logic:Preface

Highlight Features in the Data

310

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C++ Neural Networks and Fuzzy Logic

by Valluru B. Rao

MTBooks, IDG Books Worldwide, Inc.

ISBN: 1558515526   Pub Date: 06/01/95

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Now let’s look at the rest of this table, which is made up of the new 10 values of ROC indicators (Table 14.3).

Table 14.3 Added Rate of Change (ROC) Indicators

DateROC3_3MoROC3_BondROC10_ADROC3_H/LROC3_SPC

1/4/80

1/11/80

1/18/80

1/25/80

2/1/80

2/8/800.0022380.030482−0.13026−0.396250.029241

2/15/800.0114210.044406−0.55021−0.961320.008194

2/22/800.0417160.045345−0.47202−0.919320.001776

2/29/800.05150.0694150.358805−0.81655−0.00771

3/7/800.0892090.047347−0.54808−1−0.03839

3/14/800.0732730.026671−0.06859−0.96598−0.03814

3/21/800.0383610.001622−0.15328−0.51357−0.04203

3/28/800.065901−0.007480.766981−0.69879−0.03816

4/3/80−0.003970.005419−0.260540.437052−0.01753

4/11/80−0.03377−0.004380.0089810.437052−0.01753

4/18/80−0.0503−0.02712−0.234310.8037430.001428

4/25/80−0.08093−0.0498−0.377210.588310.015764

5/2/80−0.14697−0.04805−0.259560.7951460.014968

5/9/80−0.15721−0.05016−0.37625−0.101780.00612

5/16/80−0.17695−0.05550.1279440.8237720.016043

5/23/80−0.10874−0.027010.5159830.861120.027628