An Optimal Control Model and the Computer Algorithm for the Diffusion Parameter of the Drug Releasing in the Spherical Device

Li, Y.; Dong, Mingzhe; Xiang, Xuyu; Xiang, Ziquan; Pang, Yan

doi:10.3923/itj.2012.1032.1039

Cited by 3 publications

(3 citation statements)

References 11 publications

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“…This network has not only the complex nonlinear mapping capability like feed-forward neural network, but also the memory capability to remember the previous outputs. Therefore, ELMAN network has the ability to adapt to time-varying and dynamic environments [13].…”

Section: Belman Neural Networkmentioning

confidence: 99%

The comparisons of four methods for financial forecast

Zhu

2012

2012 IEEE International Conference on Automation and Logistics

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With the development of economy and the change of people investing consciousness, financial investment has become an important issue currently. Therefore, the financial prediction becomes an important investment tool to financial investors. Stock prediction plays a crucial role in a wide range of forecast in the financial market. It can also be extended to other fields of the financial forecast. In this paper, current stock forecasting methods are introduced first. Then a variety of prediction models are mainly introduced, which are the current popular four kinds of methods: BPN (back propagation network), ELMAN, SVM (support vector machine) and WNN (wavelet neural network). The cross validation method is added to find the optimal parameters in these four methods. Experiments with three different kinds of stocks are conducted to verify these four methods. The advantages and limitations of these methods are given by analyzing and comparing the experiment results.

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Section: Belman Neural Networkmentioning

confidence: 99%

The comparisons of four methods for financial forecast

Zhu

2012

2012 IEEE International Conference on Automation and Logistics

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“…In addition, it manages portal application system as a whole and executes authorization service of policy made by administrator [3]. So, needing to solve the following several key problems:…”

Section: A Related Problemsmentioning

confidence: 99%

Research of Unified Authentication System Based on LDAP

Ming¹

2012

Proceedings of the 2012 2nd International Conference on Computer and Information Applications (ICCIA 2012)

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Abstract-With the development of Internet technology, the increasing of the application service makes the enterprise network management and security more and more complex. Based on it, the enterprise portal needs a system with high performance for identity authentication management. In this, implements the research of unified identify authentication system through LDAP, designs a rational structure of the directory tree. Thus, All the application servers use the user information in the same directory. By the manner, the problem of disagreement and larger maintenance burden can be solved and the system security can be improved.

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“…The method allows identifying the main sources of excessive pollution in a selected zone (residential area, park, forest, etc.). In particular, it can be used for the evaluation of pollution levels due to oil spills (Skiba, 1996(Skiba, , 1999Skiba and Parra-Guevara, 1999;Dang et al, 2012), or to vehicular emissions along the main roads (Skiba and Davydova-Belitskaya, 2003;Chiou and Chen, 2010;Li et al, 2012b;Shafiq and Iqbal, 2012); for estimating parameters which describe the source location and strength (Keats et al, 2007a, b); for the detection of industrial plants which violate the emission rates, prescribed by some control strategy (Skiba, 2003); for the reconstruction of an unknown number of contaminant sources (Yee, 2008); or for the optimal location of a new industrial enterprise, so that its operation will not violate health standards in ecologically most important zones (Marchuk, 1982(Marchuk, , 1986Skiba et al, 2005). The method can also be used to install safety devices in high-risk areas to prevent accidents or unauthorized discharges of contaminants and design emission control strategies for already existing industries (Penenko and Raputa, 1983;Jhih-Shyang, 1998;Parra-Guevara and Skiba, 2000a, b;Zundel and Rentz, 1995;Zhou, 2008, 2009).…”

Section: Introductionmentioning

confidence: 99%

Control of emission rates

Skiba¹,

Parra‐Guevara²

2013

Atmósfera

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RESUMENSe utiliza la ecuación de advección-difusión para describir la dispersión de contaminantes en un área limitada. Se sugieren métodos para prevenir niveles peligrosos de contaminantes en zonas de importancia ecológica. Los métodos se basan en el control de las tasas de emisión de las fuentes y utilizan estimaciones directas y adjuntas de la concentración media de la contaminación en las zonas. Mientras que las estimaciones directas utilizan las soluciones del problema de transporte de un contaminante y permiten llevar a cabo el estudio de la situación ecológica en todo el dominio, las estimaciones adjuntas permiten la obtención de información sólo en las zonas seleccionadas del dominio. Las estimaciones adjuntas se obtienen por medio de soluciones al problema adjunto y dependen explícitamente de las posiciones de las fuentes y sus tasas de emisión, así como de la distribución inicial del contaminante en la región. En cada estimación, la solución al problema adjunto sirve como la función de influencia que muestra la contribución cuantitativa de cada fuente a la contaminación de la zona correspondiente. Por lo tanto, las estimaciones adjuntas constituyen una herramienta muy eficaz en el estudio de la respuesta del modelo a los cambios en las tasas de emisión y las condiciones iniciales, así como en el desarrollo de estrategias de control. Se sugieren varias estrategias de control óp-timas y suficientes (no óptimas). Cada estrategia consiste en reducir las tasas de emisión de las fuentes, y define la intensidad máxima admisible (en caso de control óptimo) o una intensidad suficiente (en caso de control suficiente) de cada fuente, para evitar violaciones de las normas sanitarias. En el diseño de dichos criterios se han tomado en cuenta las condiciones dinámicas de la atmósfera o el océano (mar), es decir, los procesos de propagación, dispersión y transformación de contaminantes, así como el número de fuentes que se controlan, sus ubicaciones y las normas sanitarias. Los métodos de control desarrollados se ilustran con ejemplos sencillos, utilizando los modelos de dispersión bidimensionales. Sin embargo, dichos métodos también pueden aplicarse a los modelos tridimensionales. Como ejemplo, en la última parte del artículo, se considera un modelo tridimensional de la dispersión. Además, para ampliar el ámbito de aplicación de los métodos de control de la intensidad de las fuentes, las estrategias de control óptimo se aplican a una fuente que emite una sustancia química para limpiar sistemas acuáticos contaminados con biopelículas (remediación) o petróleo (biorremediación). ABSTRACTThe advection-diffusion equation is used for describing the dispersion of pollutants in a limited area. Methods for preventing dangerous levels of pollutants in ecologically important zones are suggested. The methods are based on the control of emission rates of sources and use the direct and adjoint estimates of the average pollution concentration in the zones. While the direct estimates use solutions of the pollution transport problem a...

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An Optimal Control Model and the Computer Algorithm for the Diffusion Parameter of the Drug Releasing in the Spherical Device

Cited by 3 publications

References 11 publications

The comparisons of four methods for financial forecast

The comparisons of four methods for financial forecast

Research of Unified Authentication System Based on LDAP

Control of emission rates

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