نتایج جستجو برای: resilient back

تعداد نتایج: 170839  

2009
A. R. Moghadassi F. Parvizian S. M. Hosseini A. R. Fazlali

Equations of state are useful for description of fluid properties such as pressure-volumetemperature (PVT). However, the success estimation of such correlations depends mainly on the range of data which have originated. Therefore new models are highly required. In this work a new method is proposed based on Artificial Neural Network (ANN) for estimation of PVT properties of compounds. The data ...

Journal: :IEEE Trans. Knowl. Data Eng. 2003
David J. Scott Richard Sharp

Application-level Web security refers to vulnerabilities inherent in the code of a Web-application itself (irrespective of the technologies in which it is implemented or the security of the Web-server/back-end database on which it is built). In the last few months, application-level vulnerabilities have been exploited with serious consequences: Hackers have tricked e-commerce sites into shippin...

2013
Ilia N. Karatsoreos Bruce S. McEwen

The brain is constantly adapting to a changing environment. It detects environmental stimuli, integrates that information with internal states, and engages appropriate behavioral and physiological responses. This process of stability through change is termed "allostasis", and serves as a mechanism by which an organism can adapt to a changing environment to function optimally, and ultimately ens...

2011
K. G. Upadhyay A. K. Choudhary M. M. Tripathi

This paper deals with a neural network approach for Short term wind speed forecasting. Now a day, short-term wind speed forecasts have become gradually more important for the power system management or energy trading due to the large penetration of wind power technology and development of wind energy markets. In this new era, short-term wind speed forecasting is necessary for producers and cons...

Journal: :Random Struct. Algorithms 2013
Yakir Reshef Salil P. Vadhan

We study deterministic extractors for bit-fixing sources (a.k.a. resilient functions) and exposure-resilient functions for small min-entropy. That is, of the n bits given as input to the function, k n bits are uniformly random and unknown to the adversary. We show that a random function is a resilient function with high probability if and only if k is at least roughly logn. In contrast, we show...

2017
Dong WANG

Low Voltage Direct Current (LVDC) distribution is considered as one of the new promising technologies for better integration of distributed generation, and supplying local loads in more efficient way compare to AC systems. However, DC protection is still considered as one of the outstanding challenges that holds back the wide deployment of LVDC in last mile utility applications. Most of existin...

2005
Shuang Cong Guodong Li Beichen Ji

In this paper, a novel PID-like neural network controller (PIDNNC) is created. It is composed of a neural network with no more than 3 neural nodes in hidden layer, and there are an activation feedback and (or) an output feedback in hidden layer, respectively. This special structure makes the network be able to be a P, PI, PD, or PID controller as needed. The proposed controller weights can be u...

2001
David Scott Richard Sharp

Application-level web security refers to vulnerabilities inherent in the code of a web-application itself (irrespective of the technologies in which it is implemented or the security of the webserver/back-end database on which it is built). In the last few months application-level vulnerabilities have been exploited with serious consequences: hackers have tricked e-commerce sites into shipping ...

2014
M Dharmalingam R Amalraj

Contract Bridge is an intelligent game, which enhances the creativity with multiple skills and quest to acquire the intricacies of the game, because no player knows exactly what moves other players are capable of during their turn. The Bridge being a game of imperfect information is to be equally well defined, since the outcome at any intermediate stage is purely based on the decision made on t...

Journal: :JILSA 2010
Samira Chabaa Abdelouhab Zeroual Jilali Antari

This paper presents the development of an artificial neural network (ANN) model based on the multi-layer perceptron (MLP) for analyzing internet traffic data over IP networks. We applied the ANN to analyze a time series of measured data for network response evaluation. For this reason, we used the input and output data of an internet traffic over IP networks to identify the ANN model, and we st...

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