We propose and examine a method of approximate dynamic programming for Markov decision processes based on structured problem representations. We assume an MDP is represented using a dynamic Bayesian network, and construct value functions using decision trees as our function representation. The size of the representation is kept within acceptable limits by pruning these value trees so that leave...

Sulfur dioxide (SO2) can cause detrimental impacts on the ecosystem. It is well known that coal-fired power plants play a dominant role in SO2 emissions, and consequently industrial flue gas desulfurization (IFGD) systems are widely used plants. To remove effectively such ultra-low emission standard be satisfied, IFGD modeling has become urgently necessary. chemical process with long-term depen...

The risk management process is the key task of every decision maker in an organization. This risk management process should be carried out periodically to review the security of the information assets in the organization. So if this process is to be efficient, the organization should first prioritize the information assets and should employ risk management procedure to avoid potential loss. But...

A genetic algorithm (GA) based recurrent fuzzy neural network modeling method for dynamic nonlinear chemical process is presented. The dynamic recurrent fuzzy neural network (RFNN) is constructed in terms of Takagi-Sugeno fuzzy model. The consequent part is comprised of the dynamic neurons with output feedback. The number and the parameters of membership functions in the premise part are optimi...

social and political culture can be conceived as a trend consisting of ethical rules as its stractur, scientific thought as its process and dynamic knowledge of facts as its agenda elhical rules are intedecd to solve structural problems, scientific that is aimed at gaining knowledge corresponding with the facts, and the agenenda is not affaring truth but reliable and dynamic knowledge of the fa...