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Improving the performance of a neural-machine interface for artificial legs using prior knowledge of walking environment.

, , , and . EMBC, page 4255-4258. IEEE, (2011)

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Gain parameters based complex-valued backpropagation algorithm for learning and recognizing hand gestures., , and . IJCNN, page 2162-2166. IEEE, (2014)Delay-dependent stability for uncertain stochastic neural networks with time-varying delay, and . Physica A: Statistical Mechanics and its Applications, (Jul 15, 2007)Output Feedback Satisfactory Fault-Tolerant Control of Uncertain Linear Discrete-Time Systems., , , and . ICNSC, page 671-676. IEEE, (2008)Lead Halide Perovskite Nanocrystals in the Research Spotlight: Stability and Defect-Tolerance, , , , and . ACS Energy Letters, 0 (ja): null (0)State estimation for static neural networks with time-varying delay., , and . Neural Networks, 23 (10): 1202-1207 (2010)A mode-dependent approach to state estimation of recurrent neural networks with Markovian jumping parameters and mixed delays., , and . Neural Networks, (2013)Renegotiation of Software Outsourcing Contracts., , , and . HICSS, page 1-7. ScholarSpace, (2019)Terrain recognition improves the performance of neural-machine interface for locomotion mode recognition., , and . ICNC, page 87-91. IEEE Computer Society, (2013)A comparative study of one-shot statistical calibration methods for analog / RF ICs., , , , , and . ITC, page 1-10. IEEE, (2015)The comparison of the estimation of the biomass of tropical forest vegetation with the different forest stand age by using multi-variant linear regression., , , , and . IGARSS, page 3249-3251. IEEE, (2002)