Search Results - subject:"Network Model"

Perez-Rodriguez, Jorge - In: Quantitative Finance 11 (2011) 6, pp. 901-916

network model and a Bayesian rule to predict the incoming order signal of a stock and its probability using the buy-sell trade …

Persistent link: https://www.econbiz.de/10009215028

How Can SMEs in a Cluster Respond to Global Demands for Corporate Responsibility?

Høivik, Heidi Weltzien; Shankar, Deepthi - In: Journal of Business Ethics 101 (2011) 2, pp. 175-195

Persistent link: https://www.econbiz.de/10009327666

An intelligent ontology-based e-learning tool for software risk management

Rene Robin, C. R.; Uma, G. V. - In: International journal of education economics and development 2 (2011) 4, pp. 320-346

Persistent link: https://www.econbiz.de/10009389977

Simulation with RBF Neural Network Model for Reservoir Operation Rules

Wang, Yi-min; Chang, Jian-xia; Huang, Qiang - In: Water Resources Management 24 (2010) 11, pp. 2597-2610

Reservoirs usually have multipurpose, such as flood control, water supply, hydropower and recreation. Deriving reservoirs operation rules are very important because it could help guide operators determine the release. For fulfilling such work, the use of neural network has presented to be a...

Persistent link: https://www.econbiz.de/10010794814

Discovering network behind infectious disease outbreak

Maeno, Yoshiharu - In: Physica A: Statistical Mechanics and its Applications 389 (2010) 21, pp. 4755-4768

meta-population network model are described by stochastic differential equations. Probability density functions are derived …

Persistent link: https://www.econbiz.de/10010873967

A social network model of investment behaviour in the stock market

Bakker, L.; Hare, W.; Khosravi, H.; Ramadanovic, B. - In: Physica A: Statistical Mechanics and its Applications 389 (2010) 6, pp. 1223-1229

To consider the psychological factors that impact market valuation, a model is formulated for investment behaviour of traders whose decisions are influenced by their trusted peers’ behaviour. The model is implemented and several different “trust networks” are tested. Simulation results...

Persistent link: https://www.econbiz.de/10011062783

Universal power laws in the threshold network model: A theoretical analysis based on extreme value theory

Fujihara, A.; Uchida, M.; Miwa, H. - In: Physica A: Statistical Mechanics and its Applications 389 (2010) 5, pp. 1124-1130

We theoretically and numerically investigated the threshold network model with a generic weight function where there …

Persistent link: https://www.econbiz.de/10010589315

Stone, Thomas E.; McKay, Susan R. - In: Physica A: Statistical Mechanics and its Applications 389 (2010) 15, pp. 2911-2914

We introduce a network model for frustrated spin systems based on highly correlated spin fluctuations, to quantify and …

Persistent link: https://www.econbiz.de/10010589782

Storm surge prediction using an artificial neural network model and cluster analysis

You, Sung; Seo, Jang-Won - In: Natural Hazards 51 (2009) 1, pp. 97-114

In this study, an artificial neural network model was developed to predict storm surges in all Korean coastal regions …, with a particular focus on regional extension. The cluster neural network model (CL-NN) assessed each cluster using a … harmonic analysis and the artificial neural network model in each region (NN). The values predicted by the NN and CL-NN models …

Persistent link: https://www.econbiz.de/10010846359

A spatial weighted network model based on optimal expected traffic

Qian, Jiang-Hai; Han, Ding-Ding - In: Physica A: Statistical Mechanics and its Applications 388 (2009) 19, pp. 4248-4258

We propose a spatial weighted network model based on the optimal expected traffic. The expected traffic represents the …

Persistent link: https://www.econbiz.de/10011058942