نتایج جستجو برای: return mapping algorithm

تعداد نتایج: 1000532  

2008
Miguel Juliá Arturo Gil Luis Payá Óscar Reinoso

In this paper we present an approach for multi-robot cooperative exploration based on the potential field generated by several basic behaviours. When an unknown environment is explored the uncertainty in the localization normally grows, this fact may cause the failure of the Simultaneous Localization and Mapping (SLAM) algorithm, and thus constructing an useless and inaccurate map. The explorat...

2007
C. Hopkinson

We reconstruct the vertical pulse power distribution returned from a commercial small footprint discrete pulse airborne laser terrain mapper within a mixed forest landscape. By modifying a Beer-Lambert approach, we relate the ratio of ground return power / total return power to the canopy gap fraction (P) as derived from digital hemispherical photography (DHP). The results are compared to the c...

2011
B. D. Reddy C. Wieners B. Wohlmuth Christian Wieners

We provide optimal a priori estimates for nite element approximations of a model of rate-independent single-crystal strain-gradient plasticity. The weak formulation of the problem takes the form of a variational inequality in which the primary unknowns are the displacement and slips on the prescribed slip systems, as well as the back-stress associated with the vectorial microstress. It is shown...

Journal: :journal of advances in computer research 0
firozeh razavi department of management and economics, science and research branch, islamic azad university, tehran, iran faramarz zabihi department of computer engineering, sari branch, islamic azad university, sari, iran mirsaeid hosseini shirvani department of computer engineering, sari branch, islamic azad university, sari, iran

neural network is one of the most widely used algorithms in the field of machine learning, on the other hand, neural network training is a complicated and important process. supervised learning needs to be organized to reach the goal as soon as possible. a supervised learning algorithm analyzes the training data and produces an inferred function, which can be used for mapping new examples.  hen...

In this paper, as an application of fuzzy matroids, the fuzzifying greedy algorithm is proposed and an achievableexample is given. Basis axioms and circuit axioms of fuzzifying matroids, which are the semantic extension for thebasis axioms and circuit axioms of crisp matroids respectively, are presented. It is proved that a fuzzifying matroidis equivalent to a mapping which satisfies the basis ...

Journal: :International Journal for Numerical Methods in Engineering 2016

Journal: :ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik 2017

2003
Hidehiro Nakano Toshimichi Saito

This paper studies responses of threedimensional (3-D) spiking oscillators to pulse-train input. The 3-D spiking oscillator consists of a linear subcircuit and a state-resetting switch. In order to analyze responses of the circuits, we introduce a mapping procedure based on a one-dimensional (1-D) return map. We then consider a simple 3-D spiking oscillator based on an RLC circuit. For equidist...

Let $ H$ be a Hilbert space and $C$ be a closed, convex and nonempty subset of $H$. Let $T:C rightarrow H$ be a non-self and non-expansive mapping. V. Colao and G. Marino with particular choice of the sequence  ${alpha_{n}}$ in Krasonselskii-Mann algorithm, ${x}_{n+1}={alpha}_{n}{x}_{n}+(1-{alpha}_{n})T({x}_{n}),$ proved both weak and strong converging results. In this paper, we generalize thei...

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