Develop a back-propagation neural network to classify rock crabs into males and females using five anatomic measurements

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Develop a back-propagation neural network to classify rock crabs into males and females using five anatomic measurements (in mm): frontal lobe size, rear width, carapace length, carapace width and body depth. The data set contains 100 specimens, 50 males and 50 females. The data set is located on the book’s website:

http://www.booksites.net/negnevitsky

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