Remote experimentation is the process of conducting real lab experiments without being physically in contact with lab devices. Recently, the development of Internet technologies fostered the spread of online laborator...
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The neural networks are successfully applied to many applications in different domains. However, due to the results made by the neural networks are difficult to explain the decision process of neural networks is suppo...
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Multiwalled carbon nanotubes (CNTs) grown by thermal chemical vapor deposition (CVD) in a tube furnace at atmospheric pressure are reported. The CNTs were synthesized at 750 °C using C2 H2 as the carbon source an...
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This paper describes the development of a Multi-Electrode Array (MEA) with Guided Network for Cell-to-Cell Communication Transduction using a standard integrated circuit (IC) fabrication process. Unlike conventional e...
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With support from HBCU-UP (Historically Black College and University - Undergraduate program) at National science Foundation (NSF), the ACTION (Advanced Curriculum and Technology-Based Instructional Opportunities Netw...
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This presentation builds on panel discussions that began at the ASEE 2004 National Conference and continued at the 2005 Conference. Our focus is on promoting diversity in engineering education, with an emphasis on gra...
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Neural prostheses have received considerable attention due to their potential to dramatically improve the quality of life of severely disabled patients. Cortically-controlled prostheses are able to translate neural ac...
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Neural prostheses have received considerable attention due to their potential to dramatically improve the quality of life of severely disabled patients. Cortically-controlled prostheses are able to translate neural activity from cerebral cortex into control signals for guiding computer cursors or prosthetic limbs. Non-invasive and invasive electrode techniques can be used to measure neural activity, with the latter promising considerably higher levels of performance and therefore functionality to patients. We review here some of our recent experimental and computational work aimed at establishing a principled design methodology to increase electrodebased cortical prosthesis performance to near theoretical limits. Studies discussed include translating unprecedentedly brief periods of “plan” activity into high information rate (6.5 bits/s) control signals, improving decode algorithms and optimizing visual target locations for further performance increases, and recording from chronically implanted arrays in freely behaving monkeys to characterize neuron stability. Taken together, these results should substantially increase the clinical viability of cortical prostheses.
OBF (Orthonormal Basis Function) Fuzzy models have shown to be a promising approach to the areas of nonlinear system identification and control since they exhibit several advantages over those dynamic model topologies...
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ISBN:
(纸本)9780769531960
OBF (Orthonormal Basis Function) Fuzzy models have shown to be a promising approach to the areas of nonlinear system identification and control since they exhibit several advantages over those dynamic model topologies usually adopted in the literature. Although encouraging application results have been obtained, no automatic procedure had yet been developed to optimize the design parameters of these models. This paper elaborates on the use of a genetic algorithm (GA) especially designed for this task, in which a fitness function based on the Akaike information criterion plays a key role by considering both model accuracy and parsimony aspects. The use of linear (actually affine) and nonlinear local models is also investigated. The proposed methodology is evaluated in the modeling of a real nonlinear magnetic levitation system.
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