Applied Fluorescence in Chemistry, Biology and Medicine by Wolfgang Rettig PDF
By Wolfgang Rettig
This interdisciplinary publication provides a entire survey of the cutting-edge: from functions and tendencies in fluorescence ideas in technological know-how to drugs and engineering. the quantity is meant for practitioners and researchers in and academia. It covers fields like environmental and fabrics technology, biology, drugs, physics and chemistry. in addition, it stories approximately new and breathtaking equipment like ultra-fast time-resolved or unmarried molecule spectroscopy, provides examples of purposes within the fields of electroluminescent polymers, visualization of membrane potentials in neurons or fluorescence imaging of the mind are defined through across the world popular authors
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5 Optimal decision tree no. 2 Classifier Based on MLP Neural Network Description. The classifier model was constructed by means of the multilayer perceptron neural network. The 10-fold cross-validation method was used to evaluate the model quality, due to the limited number of cases in the analyzed data set. For the same reason, the number of input attributes was limited by using the network sensitivity analysis. The perceptrons were trained by means of the backward error propagation method. Results.
The model is built on the basis of a database content. It is used for classifying new objects in a database or for better understanding of existing distribution of objects into the predefined classes. g. an automatic detection of objects in large image databases, decision support in bank loans, identifying trends in financial markets. It is also used in medical systems. The rules for the classification of various diseases in the medical database may be found. Next, these rules can be used for an automatic diagnosis of new patients.
Of the autoregression model 100 WavEnLH s-6 Wavelet energy 96 87 WavEnHL s-6 87 WavEnHH s-5 84 WavEnLL s-4 S(5,5)DifVarnc Difference variance 76 S(5,-5)DifVarnc 74 WavEnLH s-3 Wavelet energy 73 73 WavEnLL s-1 71 WavEnLL s-2 The analysis of the tree parameters raises also a presumption that will be reviewed at the next stage of research. Namely, node no. 9, which contains a relatively large number of misclassified cases (7 cases of sick were misclassified as healthy), may contain very interesting (from a medical point of view) cases of disease symptoms in its early stage.
Applied Fluorescence in Chemistry, Biology and Medicine by Wolfgang Rettig