Fuzzy neural networks

J.P. Steyer, D. Roland, J.C. Bouvier, and R. Moletta. Hybrid fuzzy neural network for diagnosis - Application to the anaerobic treatment of wine distillery wastewater in a fluidized bed reactor. Wat. Sci. TechnoL, 36(6-7) 209-217,... 

It allows to attribute a new object to one of the individuated categories by comparing the measured characteristics of the new object to those of a known one. Also in this case, several approaches are available statistical, fuzzy, neural network. 

Mazzatorta P, Benfenati E, Neagu CD, Gini G. Tuning neural and fuzzy-neural networks for toxicity modeling. J Chem Inf Comput Sci 2003 43 513-8. 

An electronic tongue consisting of potentiometric sensors was developed for the qualitative analysis of natural waters [61]. An array containing a series of electrodes (Ru02, C, Ag, Ni, Cu, Au, Pt, Al, Sn, Pb, and graphite) was used to investigate seven samples of mineral water, tap water, and osmotized water. Qualitative analysis of the samples of water was done by fuzzy neural networks with a differentiation accuracy of 93%. 

Fuzzy constraint relaxation, 1781 Fuzzy logic, 163, 164 Fuzzy multicriteria optimization, 2620 Fuzzy neural networks, 164 Fuzzy sets ... 

Liu X. 2008. Research of prediction model of bumping pressure in coal layers based on fuzzy neural network. Industry and Mine Automation (1) 8-12. 

K.T. Song, L.H. Sheen, Heuristic fuzzy-neural network and its application to reactive navigation of a mobile robot. Fuzzy Sets Syst. 1KK3), 331-340 (2000)... 

Liu PY (2003) Regular fuzzy neural network as universal approximator of fuzzy valued function. Control and Decision 18(l) 19-28... 

APPLICATION OF FUZZY NEURAL NETWORKS SYSTEMS IN CHEMISTRY... 

Application of Fuzzy Neural Networks Systems in Chemistry 323... 

W. Pedrycz, Fuzzy Sets and Syst., 56,1 (1993). Fuzzy Neural Networks and Neurocomputing. 

T. Feuring and W. M. Lippe, Fuzzy Sets Syst., 102, 227 (1999). The Fuzzy Neural Network... 

Subasi A. (2006) Automatic detection of epileptic seizure using dynamic fuzzy neural networks. Expert Syst. Appl 31 320-328. 

Yang, G., X. Wu, Q. Zhang, and Y. Chen. Fault Diagnosis of Ship Main Power System Based on Multilayer Fuzzy Neural Network. Proceedings of the 6th World Congress on Intelligent Control and Automation, 2006, 5713-5717. 

Fan et al. [59] proposed to use a fuzzy-neural network system to predict and display the drape image of garments made from different fabrics and styles. The basie logic is to find and display a drape image from a database that is closest to the drape of the newly designed garment of the same style. 

An older general review by Stefan et al. [2] considers mathematical modeling for data processing (including a variety of chemometric methods such as linear and nonlinear partial least squares, fuzzy neural networks, and multivariate analysis of variance), designs for electrochemical sensor arrays as well as applications in environmental, food and clinical analysis. Arrays of potentiometric ion-selective electrodes, piezoelectric crystal sensors, and voltammetric biosensors, as well as the electronic nose gas-phase sensor arrays are reviewed. 

It is also possible to create a so-called fuzzy neural network (FNN) implementing Takagi-Sugeno type inference. Then, the network is a multilayer perceptron... 

The fuzzy neural network (FNN) Layer 1 performs fuzzification of each variable Ujij = 1,2,..., ) separately, specifying the grade of membership for each rule. 

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