W Duch, R Adamczak… - IEEE Transactions on …, 2001 - ieeexplore.ieee.org
A new methodology of extraction, optimization, and application of sets of logical rules is described. Neural networks are used for initial rule extraction, local or global minimization …
N Jankowski, M Grochowski - … conference on artificial intelligence and soft …, 2004 - Springer
Several methods were proposed to reduce the number of instances (vectors) in the learning set. Some of them extract only bad vectors while others try to remove as many instances as …
SK Oh, WD Kim, W Pedrycz, BJ Park - Fuzzy Sets and Systems, 2011 - Elsevier
In this study, we design polynomial-based radial basis function neural networks (P-RBF NNs) based on a fuzzy inference mechanism. The essential design parameters (including …
In many applications, black-box prediction is not satisfactory, and understanding the data is of critical importance. Typically, approaches useful for understanding of data involve logical …
Sigmoidal or radial transfer functions do not guarantee the best generalization nor fast learning of neural networks. Families of parameterized transfer functions provide flexible …
W Duch - IEEE transactions on neural networks, 2005 - ieeexplore.ieee.org
Probability that a crisp logical rule applied to imprecise input data is true may be computed using fuzzy membership function (MF). All reasonable assumptions about input uncertainty …
S Aruna, SP Rajagopalan - International journal of computer applications, 2011 - Citeseer
In this paper a feature selection algorithm CSSFFS (Constrained search sequential floating forward search) based on SVM is proposed for detecting breast cancer. It is a greedy …
W Duch - Brain-like computing and intelligent information …, 1998 - wwwold.fizyka.umk.pl
E-mail: duch@ phys. uni. torun. pl Abstract. One of the biggest challenges of science today is to outline connections between the subjective world of human experience, as studied by …
W Duch - Challenges for Computational Intelligence, 2007 - Springer
Although computational intelligence (CI) covers a vast variety of different methods it still lacks an integrative theory. Several proposals for CI foundations are discussed: computing …