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Refined microstructure of compo cast nanocomposites: the performance of combined neuro-computing, fuzzy logic and particle swarm techniques
, Article Neural Computing and Applications ; 2014 ; ISSN: 09410643 ; Rahimipour, M. R ; Tofigh, A. A ; Davami, P ; Sharif University of Technology
Abstract
Aluminum metal matrix composites (MMCs) reinforced with nanoceramics are ideal materials for the manufacture of lightweight automotive and other commercial parts. Adaptive neuro-fuzzy inference system combined with particle swarm optimization method is implemented in this research study in order to optimize the parameters in processing of aluminum MMCs. In order to solve the problems associated with poor wettability, agglomeration and gravity segregation of nanoparticles in the melt, a mixture of alumina and aluminum particles was used as the reinforcement instead of raw nanoalumina. Microstructural characterization shows dendritic microstructure for the sand cast and non-dendritic...
Neurocomputational Modeling of the Dual-Process Theory of Decision Making and Its Implication for Public Policy Making
, M.Sc. Thesis Sharif University of Technology ; Ghaninejad, Moussa (Supervisor)
Abstract
Supported by a rich literature in psychology and neuroscience, the dual-process theory of decision making assumes that individuals’ decisions are made through arbitration between habitual and goal-directed processes within their minds. Whereas the goal-directed system makes decisions after deliberating all positive and negative consequences of each feasible choice, the habitual system make choices based on the habits formed in previous experiences. Although the decisions of the goal-directed system are always more optimal that those of the habitual system, but due to that fact that the goal-directed system is slow, effortful and time-consuming, it is sometimes more efficient to make...