Authors: Guimarães, Alaine Margarete
Contributors: Universidade Estadual Paulista (UNESP)
Subject Terms: Agricultura de precisão, Algoritmos genéticos, Mineração de dados (Computação), Propriedades físico-quimicas, Inteligência computacional, Precision agriculture, Genetic algorithms, Computational intelligence, Data mining, Physico-chemical properties
Relation: GUIMARÃES, Alaine Margarete. Aplicação de computação evolucionária na mineração de dados físico-químicos da água e do solo. 2005. xii, 134 f. Tese (doutorado) - Universidade Estadual Paulista, Faculdade de Ciências Agronômicas, 2005.; http://hdl.handle.net/11449/101851; http://acervodigital.unesp.br/handle/11449/101851; guimaraes_am_dr_botfca.pdf; 000338844; 33004064021P7
Authors: Serapiao, Adriane Beatriz de S.
Contributors: Universidade Estadual Paulista (UNESP)
Subject Terms: inteligência computacional, computação evolutiva, computação natural, computação bioinspirada, inteligência coletiva, algoritmos de otimização, computational intelligence, evolutionary computing, natural computing, bio-inspired computing, swarm intelligence, optimization algorithms
Relation: Sba: Controle & Automação Sociedade Brasileira de Automatica; Sba: Controle & Automação Sociedade Brasileira de Automatica. Sociedade Brasileira de Automática, v. 20, n. 3, p. 271-304, 2009.; http://hdl.handle.net/11449/29082; http://acervodigital.unesp.br/handle/11449/29082; S0103-17592009000300002; S0103-17592009000300002.pdf; 2-s2.0-70449484665; http://dx.doi.org/10.1590/S0103-17592009000300002
Contributors: Universidade Estadual Paulista (UNESP)
Subject Terms: Computational intelligence, Image motion, Neural network, Target tracking, Video digital camera, Artificial intelligence, Cameras, Computer graphics, Digital cameras, Image analysis, Image enhancement, Intelligent control, Learning algorithms, Targets, Tracking (position), Vegetation, Video cameras, Colored images, Competitive learnings, Competitive neural networks, Digital sequences, Moving targets, Pre-processing, Real times, Real worlds, Sequence of images, Tracking algorithms, Video target tracking, Winning neurons, Neural networks
Relation: WSEAS Transactions on Signal Processing; WSEAS Transactions on Signal Processing, v. 4, n. 8, p. 420-431, 2008.; http://hdl.handle.net/11449/70830; http://acervodigital.unesp.br/handle/11449/70830; 2-s2.0-58249104081; http://www.wseas.us/e-library/transactions/signal/2008/28-145.pdf
Authors: Breve, Fabricio, Zhao, Liang
Contributors: Universidade Estadual Paulista (UNESP)
Subject Terms: Computational intelligence, Machine learning, Co-operative behaviors, Competition and cooperation, Critical points, Data items, Data sets, Different sizes, Graph-based, Input datas, Label propagation, Mislabeled data, Network-based, Node degree, Numerical comparison, Prevent error propagation, Real world data, Semi-supervised learning, Semi-supervised learning methods, Artificial intelligence, Behavioral research, Graphic methods, Learning systems, Neural networks, Numerical methods, Virtual reality, Supervised learning
Relation: Proceedings - Brazilian Symposium on Neural Networks, SBRN; Proceedings - Brazilian Symposium on Neural Networks, SBRN, p. 79-84.; http://hdl.handle.net/11449/73831; http://acervodigital.unesp.br/handle/11449/73831; 2-s2.0-84873121234; orcid:0000-0002-1123-9784; http://dx.doi.org/10.1109/SBRN.2012.16
Authors: De Souza, André Nunes, Zago, Maria Goretti, Saavedra, Osvaldo R., Ramos, Caio Oba, Ferraz, Kleber
Contributors: Universidade Estadual Paulista (UNESP)
Subject Terms: Lightning, Neural Networks, Power Transformers, Artificial Neural Network, Complex problems, Computational intelligence techniques, Discharge waveforms, Distribution transformer, Failure rate, High voltage, Input variables, Output variables, Over-voltages, Project process, Voltage variation, Backpropagation, Electric instrument transformers, Transformer substations
Relation: International Journal of Emerging Electric Power Systems; International Journal of Emerging Electric Power Systems, v. 10, n. 4, 2009.; http://hdl.handle.net/11449/71198; http://acervodigital.unesp.br/handle/11449/71198; 2-s2.0-70349918478; http://dx.doi.org/10.2202/1553-779X.2095
Authors: Lucks, Marcio B., Nobuo, Oki
Contributors: Universidade Estadual Paulista (UNESP)
Subject Terms: Function approximation, Quantized parameters, Radial basis function network, Artificial intelligence, Chlorine compounds, Feedforward neural networks, Intelligent control, Networks (circuits), Polynomial approximation, Approximation properties, Circuit complexity, Computational intelligence, International conferences, Low-power applications, Measurement systems, Memory size, Mixed-signal circuits, Network parameters, Quantization levels, Simulation results, Sinusoidal functions, Radial basis function networks
Relation: CIMSA 2008 - IEEE Conference on Computational Intelligence for Measurement Systems and Applications Proceedings; CIMSA 2008 - IEEE Conference on Computational Intelligence for Measurement Systems and Applications Proceedings, p. 23-27.; http://hdl.handle.net/11449/70591; http://acervodigital.unesp.br/handle/11449/70591; WOS:000259443400006; 2-s2.0-52449111383; http://dx.doi.org/10.1109/CIMSA.2008.4595826