this program resources distribution network (Resource_Allocation Network , RAN) to achieve the Hermit polynomial online learning problems. Training samples have the following manner, the number of 400 samples, each sample interval in the importation of Xi [-4, 4] within randomly generated (evenly distributed) sample output related to F (Xi) = 1.1 (1-Xi Xi2) exp (-Xi2/2), test samples of the imported [-4, 4] to within 0.04 of equidistant spacing have a total of 201 samples. After the training of hidden nodes : 11, after the end of the training error of up to the average : 0.03

ran
...\Debug
...\RAN.BAK
...\RAN.CPP
...\ran.dsp
...\ran.dsw
...\ran.ncb
...\ran.opt

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