| Flake, G. W. (1999). An industrial strength numerical modeling research and development tool (Technical Report 99-085). NEC Research Institute. |
....d t 1 i. The classes are discrete intervals of d t such that C 1 = UP (d t 0:35) C 2 = DOWN (d t 0:35) and C 3 = SAME ( 0:35 d t 0:35) The intervals are such that each class frequency is roughly 1=3. The component learning algorithms are backpropagation neural networks built using Flake s (1999) NODELIB code library; each consists of an input layer of five nodes, a hidden layer of from one to seven nodes, and an output layer of three nodes. Diversity is due only to differences in the number of hidden nodes and to randomization in the training algorithm. The time series d t was divided ....
Flake, G. W. (1999). An industrial strength numerical modeling research and development tool (Technical Report 99-085). NEC Research Institute.
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