Back Propagation Neural Network v1.51



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Dialup (56k): 02 m 18 s
ISDN (128k): 01 m 01 s
DSL (512k): 16 s
Cable (1024k): 08 s
T1 (1484k): 06 s




simulates a back propagation neural network that is a well-known algorithm used in artificial intelligence. Neural network technology is particularly useful for solving problems that use imprecise or fuzzy input patterns and have abundant example data. Some examples include weather forecasting, pattern recognition, and any type of data prediction. Back Propagation Neural Network allows you to create easily a neural network according to your needs. A number of different parameters can be specified and saved. File data can be created using Microsoft Excel.
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