this paper considers the automatic design of fuzzy rule-basedclassification systems based on labeled data. the classification performance andinterpretability are of major importance in these systems. in this paper, weutilize the distribution of training patterns in decision subspace of each fuzzyrule to improve its initially assigned certainty grade (i.e. rule weight). ourapproach uses a punish...

this paper proposes a three-step method for solving nonlinear volterra integralequations system. the proposed method convents the system to a (3 × 3)nonlinear block system and then by solving this nonlinear system we ndapproximate solution of nonlinear volterra integral equations system. to showthe advantages of our method some numerical examples are presented.

background: the present study assesses independent predictors of clinically important traumatic brain injury (citbi) in order to design a prognostic rule for identification of high risk children with mild head injury. materials and methods: in a retrospective cross-sectional study, 3,199 children with mild traumatic brain injury (tbi) brought to emergency ward of three hospitals in tehran, iran...

The beyond-Rule-of-5 (bRo5) chemical space is a source of new oral drugs and includes large flexible compounds. Because their size conformational variability, bRo5 molecules assume different privileged conformations in the compartments human body, i. e., they can exhibit chameleonic properties. elucidation ensemble 3D structures explored by such under conditions therefore critical to check role...

the main challenge of developing countries, is achieving growth and development. review of economic growth literature shows that the quality of institutions and social infrastructure are important factors that influence the economic growth and development. also many analysts believe that between institutional factors, the rule of law is one of the most elements for appropriate system for invest...

The proposed IAFC neural networks have both stability and plasticity because theyuse a control structure similar to that of the ART-1(Adaptive Resonance Theory) neural network.The unsupervised IAFC neural network is the unsupervised neural network which uses the fuzzyleaky learning rule. This fuzzy leaky learning rule controls the updating amounts by fuzzymembership values. The supervised IAFC ...