Adding learning to the cellular development of neural networks: Evolution and the baldwin effect
Evolutionary Computation
Evolving neural network for printed circuit board sales forecasting
Expert Systems with Applications: An International Journal
Data mining application on crash simulation data of occupant restraint system
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
Data mining consists of a set of powerful methods that have been successfully applied to many different application domains, including business, engineering, and bioinformatics. In this paper, we propose an innovative approach that uses genetic algorithms to mine a set of temporal behavior data output by a biological system in order to determine the kinetic parameters of the system. Analyzing the behavior of a biological network is a complicated task. In our approach, the machine learning method is integrated with the framework of system dynamics so that its findings are expressed in a form of system dynamics model. An application of the method to the cell division cycle model has shown that the method can discover approximate parametric values of the system and reproduce the input behavior.