... include two wide luminescence bands at around 460 nm (blue band) and 515 nm (green band). These bands are characterized by the vacancies of Zn bonding to Cl (VZn-Cl) and some impurities in ZnS ... green band decrease. Hence, at xCu = 5.10-4 mol% the intensities of these two bands are equal to each other and they merge into one wide band ranging from 476 nm to 533 nm. The blue and green ... in ZnS and Co in ZnO, the self-activated luminescence bands characterized by vacancies of zinc and oxygen are extinguished or their intensities decrease. In PL spectra of ZnS:Cu, ZnS:Mn and ZnO:Co...
... ExampleOrthogonal Input Vectors ExampleVariations andApplications of Kohonen Networks C++ NeuralNetworksand Fuzzy Logic:PrefacePreface 8 C++ NeuralNetworksand Fuzzy Logicby Valluru B. RaoMTBooks, ... Anyone?Stability and PlasticityStability for a Neural NetworkPlasticity for a Neural NetworkShort−Term Memory and Long−Term MemorySummaryChapter 5—A Survey of Neural Network ModelsC++ NeuralNetworksand ... Fuzzy Sets Applications of Fuzzy LogicExamples of Fuzzy LogicCommercial Applications Fuzziness in Neural Networks Code for the FuzzifierFuzzy Control SystemsFuzziness in NeuralNetworks Neural Trained...
... For Such diverse and cutting-edge technology conventional systems have proved expendable and arduous. It is when the ArtificialNeuralNetworksand Fuzzy Systems have proved their speed competitive ... monitored and controlled simultaneously, and it is quite difficult to derive classical structured models, on account of practical ArtificialNeuralNetworks - Industrial and Control Engineering Applications ... composition and quality analysis ArtificialNeuralNetworks - Industrial and Control Engineering Applications 226 objects from different classes or having different properties). Clusters and empty...
... 312-355, ISSN: 0891-2513 Cartwright, H. M. (2008). Artificialneuralnetworks in biology and chemistry. In: Artificial neural networks : methods and applications. Livingstone, D. (Ed.), 1-13, Humana ... Table 4. Other applications of ANN in meat science and technology ArtificialNeuralNetworks - Industrial and Control Engineering Applications 260 smoothen the response and cancel high-frequency ... Table 3. Fig. 8. Actual structure of neural network. ArtificialNeuralNetworks - Industrial and Control Engineering Applications 246 abandon various kinds of irrational points that...
... Figures 7 to 8 and the target patterns for generator located at buses 14 and 22 are given in Figures 9 to 12. ArtificialNeuralNetworks - Industrial and Control Engineering Applications ... of 186 lines, 33 physical reactive power sources and 54 real power generators. ArtificialNeuralNetworks - Industrial and Control Engineering Applications 270 Input vectors in the upper ... reactive power transfer between generators and loads with almost similar accuracy. ArtificialNeuralNetworks - Industrial and Control Engineering Applications 286 where 'Y is the...
... automata on lattices and random graphs, motivated by the structuralBiologically Plausible ArtificialNeural Networks http://dx.doi.org/10.5772/5417737 8 Artificial Neural Networks Figure 7. The ... supercritical Andronov-Hopf bifurcation,the equilibrium state loses stability and gives rise to a small amplitude limit cycle attractor. Artificial NeuralNetworks – Architectures and Applications3 2 ... correct patterns even whenthe noisy input was given. Artificial NeuralNetworks – Architectures and Applications1 6 2 Artificial Neural Networks 1.1. McCulloch-Pitts neuronMcCulloch-Pitts neuron...
... of the ARTIFICIALNEURAL NETWORKS ͳ INDUSTRIAL AND CONTROL ENGINEERING APPLICATIONS Edited by Kenji Suzuki Review of Application of ArtificialNeuralNetworks in Textiles and Clothing ... spinning ends-down and neps ArtificialNeuralNetworks - Industrial and Control Engineering Applications 4 2. Applications to fibres and yarns 2.1 Fibre classification Kang and Kim (2002) ... different ArtificialNeuralNetworks - Industrial and Control Engineering Applications 12 3.5 Seam performance Hui and Ng (2009) investigated the capability of artificialneural networks...
... as artificialneural network (ANN model) by alkali concentration, temperature and time as inputs. Both statistical model ArtificialNeuralNetworks - Industrial and Control Engineering Applications ... of data are available ArtificialNeuralNetworks - Industrial and Control Engineering Applications 44 Semnani & Vadood, 2009 applied the artificialneural network (ANN) to predict ... feature index, and finally assessing pilling grade by Kohonen self ArtificialNeuralNetworks - Industrial and Control Engineering Applications 42 organizing feature map neural network....
... 2009a and Debnath & Roy, 1999) and percentage ArtificialNeuralNetworks - Industrial and Control Engineering Applications 88 Sao, K.P. & Jain, A. K. (1995). Mercerization and ... layers; and SD – Standard deviation Table 15. Experimental and predicted values of initial thickness by ANN model ArtificialNeuralNetworks - Industrial and Control Engineering Applications ... layers; and SD – Standard deviation Table 16. Experimental and predicted values of percentage compression by ANN model ArtificialNeuralNetworks - Industrial and Control Engineering Applications...
... same elemental ArtificialNeuralNetworks - Industrial and Control Engineering Applications 102 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1andesite AGV2andesite JA1andesite JA2andesite JA3anorthosite ... acceptable. ArtificialNeuralNetworks - Industrial and Control Engineering Applications 98 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1andesite AGV2andesite JA1andesite JA2andesite JA3anorthosite ... the networksandtheir accuracies, the Fig. 5. Regression analysis of K' for the train and test data and (σy , Su , RA% and BHN) as ANN input. ArtificialNeuralNetworks for...
... the transfer function andArtificialNeuralNetworks - Industrial and Control Engineering Applications 134 input and output vector values are in the real number space and there are no effects ... prepared and the mechanical properties were tested. ArtificialNeuralNetworks - Industrial and Control Engineering Applications 156 Fig. 3. Schematic architecture of ArtificialNeural ... of 85vol%ZrO2, 8vol%TiB2 and 7vol%Al2O3 is the better. ArtificialNeuralNetworks - Industrial and Control Engineering Applications 150 5.4 Results and discussion According to...
... ArtificialNeuralNetworks - Industrial and Control Engineering Applications 182 Karacan, C.O. (2007). Development and application of reservoir models andartificialneural networks ... inference system In the artificial intelligence field, the term “neuro-fuzzy” refers to combinations of artificial neural networksand fuzzy logic. Fuzzy modeling andneuralnetworks have been recognized ... dynamic model ArtificialNeuralNetworks - Industrial and Control Engineering Applications 192 Once the artificialneural network is trained, which means that all of the weights and bias are...
... the random frequency and amplitude changes of SOI and FRP. Fig. 10. Random signal of SOI for training and validation Fig. 11. Random signal of FRP for training and validation The Applications ... application of artificialneuralnetworks on engine applications. Several practical examples show the applicability of artificialneuralnetworks in the domain of virtual sensing and control development ... (1-8) mm and 16 mm with their corresponding hardness 85-175 and 175-275 respectively, for the types of cutting tools listed in Table 2. ArtificialNeuralNetworks - Industrial and Control...