Radial Basis Function Network
Mostrando 1-12 de 20 artigos, teses e dissertações.
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1. Nova abordagem para melhorar o desempenho do modelo de translação geocêntrica utilizando tecnologia de redes neurais artificiais
Resumo: O modelo de translação geocêntrica (GTM) atualmente não tem sido muito utilizado nas pesquisas de transformação de coordenadas devido a sua exatidão. Uma transformação acurada de coordenadas é um procedimento essencial na maioria dos problemas geodésicos. Entretanto, motivado pelo sucesso na aplicação de técnicas de Inteligência Artifi
Bol. Ciênc. Geod.. Publicado em: 2017-03
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2. Design of multiple function antenna array using radial basis function neural network
A novel approach to design Multiple Function Antenna (MFA) arrays using Artificial Neural Networks is suggested. A planar array with uniform current excitations which can generate different beam widths and gains is designed using Artificial Neural Networks. The desired beam width, gain and number of elements are given as input to the neural network. The outp
J. Microw. Optoelectron. Electromagn. Appl.. Publicado em: 2013-06
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3. A DOE based approach for the design of RBF artificial neural networks applied to prediction of surface roughness in AISI 52100 hardened steel turning
The use of artificial neural networks for prediction in hard turning has received considerable attention in literature. An often quoted drawback of ANNs is the lack of a systematic way for the design of high performance networks. This study presents a DOE based approach for the design of ANNs of Radial Basis Function (RBF) architecture applied to surface rou
Journal of the Brazilian Society of Mechanical Sciences and Engineering. Publicado em: 2010-12
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4. Evaluation of machine learning classifiers in keratoconus detection from orbscan II examinations
PURPOSE: To evaluate the performance of support vector machine, multi-layer perceptron and radial basis function neural network as auxiliary tools to identify keratoconus from Orbscan II maps. METHODS: A total of 318 maps were selected and classified into four categories: normal (n = 172), astigmatism (n = 89), keratoconus (n = 46) and photorefractive kerate
Clinics. Publicado em: 2010
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5. Aplicação de redes neuro fuzzy ao processamento de polímeros na indústria automotiva.
Há uma tendência no mercado automotivo mundial de aumento na utilização de polímeros (materiais plásticos) devido ao seu baixo custo de produção e fácil processabilidade, o que impulsiona a busca por soluções que possibilitem a otimização do desempenho destes materiais ainda na fase de projeto de produto. O conhecimento prévio do tempo de ciclo
Publicado em: 2010
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6. Synergistic control of forearm based on accelerometer data and artificial neural networks
In the present study, we modeled a reaching task as a two-link mechanism. The upper arm and forearm motion trajectories during vertical arm movements were estimated from the measured angular accelerations with dual-axis accelerometers. A data set of reaching synergies from able-bodied individuals was used to train a radial basis function artificial neural ne
Brazilian Journal of Medical and Biological Research. Publicado em: 30/04/2008
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7. Aplicação de redes neurais artificiais na ciência e tecnologia de alimentos : estudo de casos
Artificial Neural Networks (ANNs) are a non algorithm computing method capable of solving complex problems, getting better results than mathematical methods. The artificial neural networks has been used in many areas of technology and food science, most of them in classification problems, prediction, pattern recognition and control. This study approach two d
Publicado em: 2008
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8. Concurrent blind channel equalization with phase transmittance rbf neural networks
This paper presents a new complex valued radial basis function (RBF) neural network (NN) with phase transmittance between the input nodes and output, which makes it suitable for channel equalization on quadrature digital modulation systems. The new Phase Transmittance RBFNN (PTRBFNN) differs from the classical complex valued RBFNN in that it does not strictl
Journal of the Brazilian Computer Society. Publicado em: 2007-03
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9. Mapa auto-organizÃvel com campo receptivo adaptativo local para segmentaÃÃo de imagens
A new self-organizing map with variable topology is introduced for image segmentation. The proposed network, called Local Adaptive Receptive Field Self-organizing Map (LARFSOM) is based on the Self-organizing Map (SOM) and Grow When Required (GWR). The model main features are: adaptive final number of nodes, variable topology, new node insertion based on sim
Publicado em: 2007
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10. A móbile platform for autonomy studies. / Uma plataforma móvel para estudos de autonomia.
Neste trabalho é proposta uma plataforma robótica móvel, concebida de maneira modular e hierárquica, visando o estudo de diversos aspectos aplicados à navegação, tanto autônoma quanto semi-autônoma, em ambientes internos. O sistema proposto possibilita a implementação de arquiteturas reativas e híbridas com aprendizagem, sendo a importância e li
Publicado em: 2007
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11. Análise de métodos de agrupamento para o treinamento de redes neurais de base radical aplicadas à identificação de sistemas
For complex systems, modeling using basic laws to determine their dynamic behavior is not always possible. An alternative to solve these problems is use concepts of systems identification. Trough system identification it is possible to determine a mathematical model based on input and output data of the system. When little prior knowledge is available, it is
Publicado em: 2006
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12. Sistema inteligente para detecção de manchas de óleo na superfície marinha através de imagens de SAR
Oil spill on the sea, accidental or not, generates enormous negative consequences for the affected area. The damages are ambient and economic, mainly with the proximity of these spots of preservation areas and/or coastal zones. The development of automatic techniques for identification of oil spots on the sea surface, captured through Radar images, ass
Publicado em: 2006