simulation modeling

• Threshold Voltage Modeling Using Neural Networks*

In this paper, threshold voltage modeling based on neural networks is presented. The database was obtained by performing DC analysis with possible combinations of MOSFETs terminal voltages and channel widths which directly effect threshold voltage values in submicron technology. The neural network was trained with the database including 0.25 µm and 0.40 µm TSMC process parameters. In order to prove the extrapolation ability, the test dataset is constituted with 0.18 µm TSMC process parameters, which were not applied to the neural network for training. The test results of neural network tool are compared with the data obtained by using the Cadence simulation tool. The excellent agreement between the experimental and the model results makes neural networks a powerful tool for estimation o...

• Neural Network World; International Journal on Neural and Mass - Parallel Computing and Information Systems
• Band 19 Nr. 3, Mai 2009

• Implications of the activation paradigm on poverty and social exclusion in Germany: facts, hypotheses, uncertainties.

... based on multivariate statistical modeling confirm this impression and back up the accumulati...Also, with the help of a simulation study Becker and Hauser (2006) predicted the incom...

• German Policy Studies
• Band 6 Nr. 1, März 2010

• An Empirical Study of Dimensionality Reduction in Support Vector Machine*

Recently, the the support vector machine (SVM) has become a popular tool in time series forecasting. In developing a successful SVM forecaster, the first step is feature extraction. This paper proposes the applications of principal component analysis (PCA), kernel principal component analysis (KPCA) and independent component analysis (ICA) to SVM for feature extraction. The PCA linearly transforms the original inputs into new uncorrelated features. The KPCA is a nonlinear PCA developed by using the kernel method. In ICA, the original inputs are linearly transformed into features which are mutually statistically independent. By examining the sunspot data, Santa Fe data set A and five real futures contracts, the experiment shows that SVM by feature extraction using PCA, KPCA or ICA can pe...

...In the modeling, all available indicators can be used as inputs of... A and five real futures contracts, the simulation shows that SVM, by feature extraction using PCA, K...

• Neural Network World; International Journal on Neural and Mass - Parallel Computing and Information Systems
• Band 16 Nr. 3, Mai 2006

• Factors Affecting Perceptions of the Choice Between Acquisition and Greenfield Entry: The Case of Western Fdi in an Emerging Market

This study provides a comprehensive account of foreign establishment mode strategies of firms investing in Turkey. The results of the logistic regression modeling provide support to the hypothesized relationships that take into account the impact of host country specific motives of MNEs on their choice between acquisitions and greenfield investments. The host country motives quality of inputs and market potential have significant negative coefficients, indicating that an MNE will favor the acquisition mode over a greenfield mode as the relative importance of both motives increases. The host country motive of investment risk has a significant positive coefficient, which increases the likelihood of the venture being a greenfield investment. The results also show that the main investing fi...

... 1994, Schofield/Polette 1999) for simulation purposes. Lane et al. (2001) used the means-based ...

• Management International Review
• Band 48 Nr. 1, Januar 2008

• The Schizophrenic Brain: A Broken Hermeneutic Circle

A unifying picture to the hermeneutical approach to schizophrenia is given by combining the philosophical and the experimental/computational approaches. Computational models of associative learning and recall in the corticohippocampal system helps to understand the circuits of normal and pathological behavior.

...Simulation results suggest that reduced performance of schizo...2. 7. Computational Modeling. 7.1 Modeling hippocampal associative learning. An...

• Neural Network World; International Journal on Neural and Mass - Parallel Computing and Information Systems
• Band 19 Nr. 5, September 2009

• Traffic Control in Virtual Model of a Real City

The traffic control is an essential part of autonomous movement of different kinds of vehicles in a virtual model of a (real) city. By the traffic control we mean not only collisions avoiding and optimal setting of traffic lights. The movement should be realistic enough too, so traffic (together with changing day-time/night-time and seasons of the year) significantly improves feeling of reality for a virtual visitor. This paper describes some implementations of the city traffic in the project named Praha4D (www.Praha4D.net) aimed at the city of Prague and its historical development.

...Several physical engines for simulation of natural behavior were already developed for gam... using software libraries for 3D graphic modeling - the OpenGL [8] and the OpenSceneGraph [9]. An up...

• Neural Network World; International Journal on Neural and Mass - Parallel Computing and Information Systems
• Band 18 Nr. 2, März 2008