The QuickRBF package is a simple, easy-to-use, and efficient software package for Radial Basis Function Networks (RBFN). Also, the QuickRBF package use an efficient least mean square error method for constructing RBFN classifier based on the Cholesky decomposition.
The QuickRBF package performs in comparison with the state-of-art support vector machine (SVM) package, LIBSVM [Chang and Lin, 2001], in data classification and bioinformatics applications. The general observation is that the QuickRBF classifier is capable of delivering the same level of prediction accuracy as the SVM, while enjoying execution efficiency during the phase to construct the classifier.
I don’t remember when posting this topic last time, but it’s okay to write it again ahaha.
this is just simple python script to crack the hash, I am using hashlib from python library ( you can read on docs.python.org/2/library/hashlib.html )
the idea is just crack the hash based on wordlist, hashlib support md5, sha1, sha224, sha256, sha384, and sha512 ( you can read the detail of hash here )