نتایج جستجو برای: forward modeling

تعداد نتایج: 501791  

Journal: :journal of biomedical physics and engineering 0
y bazargan-lari department of mechanical engineering, college of mechanical and aerospace engineering, tehran science and research branch, islamic azad university, tehran, iran m eghtesad shiraz university a khoogar department of mechanical engineering, maleke-ashtar university of technology,lavizan,tehran, iran a mohammad-zadeh department of mechanical engineering, college of mechanical and aerospace engineering,tehran science and research branch, islamic azad university, tehran, iran

background: despite some successful dynamic simulation of self-impact double pendulum (sidp)-as humanoid robots legs or arms- studies, there is limited information available about the control of one leg locomotion. objective   : the main goal of this research is to improve the reliability of the mammalians leg locomotion and building more elaborated models close to the natural movements, by mod...

2015
Antony Galton

It has often been noted that traditional GIScience, with its focus on data-modelling functions such as the input, storage, retrieval, organisation, manipulation, and presentation of data, cannot readily accommodate the process-modelling functions such as explanation, prediction, and simulation which it is increasingly acknowledged should form an essential element of the GI scientist’s toolkit. ...

2005
Luigi Brugnano Cecilia Magherini

Deferred correction is a widely used tool for improving the numerical approximation to the solution of ODE problems [10, 11, 12, 13, 16, 17, 18, 19, 20, 21, 23]. Indeed, it allows to estimate the error due to the use of discrete methods. Such an estimate may be a global one, in the case of continuous BVPs, or a local one, when IVPs are to be approximated [2, 7]. Recently, it has been implemente...

2017
Shigeki Karita Atsunori Ogawa Marc Delcroix Tomohiro Nakatani

An automatic speech recognition (ASR) performance has greatly improved with the introduction of convolutional neural network (CNN) or long-short term memory (LSTM) for acoustic modeling. Recently, a convolutional LSTM (CLSTM) has been proposed to directly use convolution operation within the LSTM blocks and combine the advantages of both CNN and LSTM structures into a single architecture. Thi...

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