Titlebook: Soft Computing for Recognition based on Biometrics; Patricia Melin,Janusz Kacprzyk,Witold Pedrycz Book 2010 Springer Berlin Heidelberg 201

汇总

Soft Computing Approaches to the Problem of Infant Cry Classification with Diagnostic Purposesarting point, until now none reliable cry-based clinical routines for diagnosis has been successfully achieved. Nevertheless in support of that goal some expectations are appearing when new automatic infant cry classification approaches displaying potentialities for diagnosis purposes are added to t

慎重

Neural Networks and SVM-Based Classification of Leukocytes Using the Morphological Pattern Spectrumopic leukocytes images for classification purposes. Pecstrum provides an excellent quantitative analysis to model the morphological evolution of nuclei in blood white cells, or leukocytes. According to their maturity stage, leukocytes have been classified by medical experts in six categories, from m

GUEER

Hybrid System for Cardiac Arrhythmia Classification with Fuzzy K-Nearest Neighbors and Neural Networse. The Samples were taken from the LBBB, RBBB, PVC and Fusion Paced and Normal arrhythmias, as well as the normal heartbeats. These were segmented and transformation and 3 methods of classification were used: Fuzzy KNN, Multi Layer Perceptron with Gradient Descent and momentum Backpropagation and M

Lacunar-Stroke

mucous-membrane

callous

lanugo

Comparative Study of Type-2 Fuzzy Inference System Optimization Based on the Uncertainty of Membershzation method for type-2 fuzzy systems is based on the footprint of uncertainty (FOU) of the membership functions. We use different benchmark problems to test the optimization method for the fuzzy systems. First, we tested the methodology by manually incrementing the percentage in the FOU, later we

咽下

vasospasm

esculent