نتایج جستجو برای: return mapping algorithm

تعداد نتایج: 1000532  

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه صنعت آب و برق (شهید عباسپور) - دانشکده مهندسی برق و کامپیوتر 1392

abstract according to increase in electricity consumption in one hand and power systemsreliability importance in another , fault location detection techniqueshave beenrecentlytaken to consideration. an algorithm based on collected data from both transmission line endsproposed in this thesis. in order to reducecapacitance effects of transmission line, distributed parametersof transmission line...

Journal: :JCP 2013
Shaowei Wang Hongyu Yang Haiyun Li

The Isometric mapping algorithm is an unsupervised manifold learning algorithm, with no consideration of the class of training samples, while supervised isometric mapping treats the difference among classes equally. Considering the inner relationship between different expressions, we have proposed isometric mapping algorithm based on expression weighted distance, which assigns weighted values a...

Journal: :Transactions of the Japanese Society for Artificial Intelligence 2001

Journal: :Computers & Structures 2021

• A constitutive model for interface elements is developed use in masonry micromodelling. Model based on total deformation theory, considering failure tension, compression and shear. Failure tension shear are coupled through a damage parameter. The sub-stepping algorithm (instead of mapping-back) ensures efficiency robustness. Good agreement hysteretic behavior crack pattern between numerical e...

Journal: :IEEE Trans. Information Theory 1984
Thomas M. Cover

Let the random (stock market) vector X 2 0 be drawn according to a known distribution function F(x), x E R ". A log-optimal portfolio b* is any portfolio b achieving maximal expected log return W* = sup,, E In b'X, where the supremum is over the simplex b 2 0, Cr, b, = 1. An algorithm is presented for finding b*. The algorithm consists of replacing the portfolio b by the expected portfolio b', ...

The classical Job Shop Scheduling Problem (JSSP) is NP-hard problem in the strong sense. For this reason,   different metaheuristic algorithms have been developed for solving the JSSP in recent years. The Particle Swarm Optimization (PSO), as a new metaheuristic algorithm, has applied to a few special classes of the problem.  In this paper, a new PSO algorithm is developed for JSSP. First, a pr...

2001
Michael Tian V. Visvanathan Jeffrey Hantgan Kenneth Kundert

N egative feedback techniques are widely used in analog and RF design to improve circuit properties such as variation tolerance, bandwidth, impedance matching, and output waveform distortion. In practice, unwanted local return loops also exist around individual transistors through parasitic capacitance. As the size of transistors continues to shrink and the bandwidth of transistors continues to...

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