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» Pursuit-Evasion in Models of Complex Networks
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CSB
2005
IEEE
130views Bioinformatics» more  CSB 2005»
14 years 1 months ago
iSimBioSys: An "In Silico" Discrete Event Simulation Framework for Modeling Biological Systems
The genome projects have provided comprehensive information about the basic building blocks of life. The next challenge is to understand how biological functions emerge from compl...
Samik Ghosh, Preetam Ghosh, Kalyan Basu, Sajal K. ...
CMPB
2010
171views more  CMPB 2010»
13 years 3 months ago
Metabolica: A statistical research tool for analyzing metabolic networks
Steady state flux balance analysis (FBA) for cellular metabolism is used, e.g., to seek information on the activity of the different pathways under equilibrium conditions, or as a...
Jenni Heino, Daniela Calvetti, Erkki Somersalo
GECCO
2003
Springer
153views Optimization» more  GECCO 2003»
14 years 1 months ago
SEPA: Structure Evolution and Parameter Adaptation in Feed-Forward Neural Networks
Abstract. In developing algorithms that dynamically changes the structure and weights of ANN (Artificial Neural Networks), there must be a proper balance between network complexit...
Paulito P. Palmes, Taichi Hayasaka, Shiro Usui
ESANN
2004
13 years 9 months ago
Dynamic functional-link neural networks genetically evolved applied to system identification
: The contribution concerns the design of a generalised functional-link neural network with internal dynamics and its applicability to system identification by means of multi-input...
Teodor Marcu, Birgit Köppen-Seliger
IJCAI
2001
13 years 9 months ago
Qualitative Simulation of Genetic Regulatory Networks: Method and Application
Computer modeling and simulation are indispensable for understanding the functioning of an organism on a molecular level. We present an implemented method for the qualitative simu...
Hidde de Jong, Michel Page, Céline Hernande...