SPRLIB/ANNLIB SPRLIB (Statistical Pattern Recognition Library) was developed to support the easy construction and simulation of pattern classifiers. It consist of a library of functions (written in C) that can be called from your own program. Most of the well-known classifiers are present (k-nn, Fisher, Parzen, ....), as well as error estimation and dataset generation routines. ANNLIB (Artificial Neural Networks Library) is a neural network simulation library based on the data architecture laid down by SPRLIB. The library contains numerous functions for creating, training and testing feed-forward networks. Training algorithms include back-propagation, pseudo-Newton, Levenberg-Marquardt, conjugate gradient descent, BFGS.... Furthermore, it is possible - due to the datastructures' general applicability - to build Kohonen maps and other more exotic network architectures using the same data types.

Current Version:   ?? License Type:   Free for Academic and/or Research Purposes

Home Site: http://www.ph.tn.tudelft.nl/~sprlib/ Source Code Availability:   Yes (on request) Available Binary Packages: Debian Package:   No RedHat RPM Package:   No Other Packages:   No Targeted Platforms: SUN (SunOS, Solaris), SGI (Irix) and PC (Linux, MS-DOS + Turbo-C/Borland-C, MS-DOS + DJGPP (GNU C)) Software/Hardware Requirements: C compiler, some routines from Numerical Recipes in C which is not public domain, see Home site for more information.

Other Links: None Mailing Lists/USENET News Groups: None User Comments: None See A Screen Shot? (Not Yet)

  SAL Home   |   Other Scientific Fields   |   Artificial Intelligence