Titlebook: Intelligent Computing Theories and Technology; 9th International Co De-Shuang Huang,Kang-Hyun Jo,Kyungsook Han Conference proceedings 2013

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Surprise Simulation Using Fuzzy Logicsmatch, which plays an important role in the behaviors of intelligent agents. We represent psychology theories of surprise through a fuzzy inference system, as fuzzy logic helps to capture the fuzzy and complex nature of emotions. The system takes four factors related to surprise as inputs and the d

Working-Memory

Colon Cell Image Segmentation Based on Level Set and Kernel-Based Fuzzy Clusteringod. In this framework, firstly Chan and Vese’s level set method (CV) and Bayes classifier based on mixture of density models are utilized to find a prior membership value for each pixel. Then, a supervised kernel based fuzzy c-means clustering (SKFCM) algorithm assisted by prior membership values is

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An Improved Particle Swarm Optimization Algorithm with Quadratic Interpolatione update of the particle velocity and position, two positions from set of the current personal best position are closed at random. A new position is produced by the quadratic interpolation given through three positions, i.e., global best position and two other positions. The current personal best po