Gray, "FuNN/2- A Fuzzy Neural Network Architecture for Adaptive Learning and Knowledge Acquisition", Information Sciences", 101(3-4): 155-175 (1997)Kasabov, N., J. S Kim, M. Watts, A. Gray, "FuNN/2- A Fuzzy Neural Network Architecture for Adaptive Learning and Knowledge Acquisition"...
Fuzzy neural networks are considered as a subset of symbolic connectionism. Two critical processes involve the imposition of a knowledge base of symbolic rules into a neural network architecture and the extraction of symbolic rules from the neural network following a learning phase. During the ...
neural networks or fuzzy wavelet neural networks whose parameters are determined based on a purely random basis, the parameters of wavelet functions standing in FIWNs or WNs are initialized by using the C-Means clustering method. The overall architecture of the HFWNN is similar to the one of ...
[2] Carpenter, G. A., Grossberg, S., Markuzon, N. and Rosen, D. B., ”Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps”, IEEE Trans. Neural Networks, 3(5):698-713, 1992. ...
A new architecture and learning algorithms for the multidimensional hybrid cascade neural network with neuron pool optimization in each cascade are propose... Bodyanskiy, Yevgeniy V,Tyshchenko, Oleksii K,Kopaliani, Daria S - 《International Journal of Information Technology & Computer Science》 被引...
Melin, P., Mancilla, A., Lopez, M., Mendoza, O.: A hybrid modular neural network architecture with fuzzy Sugeno integration for time series forecasting. Journal of Applied Soft Computing, in Press, Corrected Proof (2007) Google Scholar ...
Kasabov N, Kim J, Watts M, Gray A (1997) FuNN/2—a fuzzy neural network architecture for adaptive learning and knowledge acquisition. Inf Sci (Ny) 101:155–175 ArticleGoogle Scholar Yamakawa T (1992) A neo fuzzy neuron and its applications to system identification and predictin of the sy...
The fuzzy min-max neural network constitutes a neural architecture that is based on hyperbox fuzzy sets and can be incrementally trained by appropriately a... A Likas,K Blekas - 《Neural Processing Letters》 被引量: 6发表: 1996年 Nonlinear active noise control using EKF-based recurrent fuzzy...
Experimental Python implementation of the Clarion cognitive architecture artificial-intelligenceneural-networkscognitive-architecturecommonsense-reasoningneuro-fuzzycognitive-modelingneurosymbolic UpdatedMar 24, 2025 Python ksiminski/neuro-fuzzy-library Star10 ...
1, the Boosted ART architecture maintains an extra F2 node as an uncommitted node. In Boosted ART, this node maintains the value of the baseline vigilance, ρ. Newly constructed or committed cluster nodes in the Boosted ART neural network receive the base-line vigilance value. During Boosted ...