Description: FANNC is a fast neural classifier, and FANRE is a fast neural regressor. Both are developed based on Adaptive Resonance Theory and Field Theory. Prominent characteristics of these neural networks mainly include: they do not require the user to setup the number of hidden units; they only scan the training set once; they are incremental learning algorithms that can be used in online learning environments; etc.

Reference:   

FANNC: Z.-H. Zhou, S. Chen, and Z. Chen. FANNC: a fast adaptive neural network classifier. Knowledge and Information Systems, 2000, vol.2, no.1, pp.115-129.

FANRE: Z.-H. Zhou, S. Chen, and Z. Chen. FANRE: a fast adaptive neural regression estimator. In: Proceedings of the 12th Australian Joint Conference on Artificial Intelligence (AJCAI'99), Sydney, Australia, LNAI 1747, 1999, pp.48-59.

ATTN:        This package is free for academic usage. You can run it at your own risk. For other purposes, please contact Prof. Zhi-Hua Zhou (zhouzh@lamda.nju.edu.cn).

Requirement: The demo was developed for Windows systems.

Download:   [demo] (98.4Kb)