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The 2009 Second International Symposium on Computational Intelligence and Design dealt with the following related topics such as: fault tolerant computing; SVM application; recommender systems; image processing; data mining; association rule; intelligent simulation; genetic algorithm; clustering method; knowledge engineering; information retrieval techniques; neural networks; multi-agent system; and...
Partition-and-Recur PAR method is a simple and useful formal method used to design and prove algorithmic programs. In this paper, we address that PAR method is really an effective formal method on solving Combinatorics problems. We formally derive Combinatorics problems by PAR method, which can not only simplify the process of algorithmic program's designing and correctness testifying, but also effectively...
Neighborhood selection is one of the most important link in low-dimensional representations of high-dimensional data sets. Also, a good distance measure among the data points is where the shoe pinches. In this paper, we use the cam weighted distance to find a more flexible neighborhood of a data point in a newly-created space of r-isomap algorithm. It is a major advantage of r-isomap to optimize the...
In order to solve the problems of correctly identifying fault classes in fault diagnosis of analogue circuit and improve classification ability, a fault diagnosis method for analog circuits based on AdaBoost algorithm and hypersphere support vector machine (hypersphere SVM) is developed in this paper. This algorithm uses Hyper-sphere SVMs as weak learners of AdaBoost and use AdaBoost algorithm to...
Collaborative filtering algorithms are successfully used in personalized recommender systems for their simplicity and high recommending quality. However, significant vulnerabilities have recently been identified in collaborative filtering recommender systems. Malicious users can inject a large number of biased profiles into such a system in order to make recommendations that favor or disfavor given...
Traditional pest detection methods can't provide the grain pests' categories, densities and other parameters. In addition, with the increase of the stored-grain pests' drug fastness, their categories and densities are increasing in recent years, With the development of pattern recognition, image processing, intelligent algorithm, computer technology, develop a new detection system is necessary and...
This paper can be divided two parts, the first one researches the characteristic of mining association rules in quantitative attributes relations, and presents a method by coordinating data to transform quantitative attributes data to Boolean attribute for mining and numerical attribute for clustering. The second part, on the base of coordinating data, data is clustered, and then association rules...
In this paper, 36 coats, which had different ease and made from different fabrics, were made and their profile appearance were evaluated by seven experts. These coats were scanned by using [TC]2 three dimensional body scanner and their three dimensional virtual pictures was shown according to the OpenGL software surface display theory. Key factors witch affected garments appearance ease most were...
Automatic design of cipher algorithm is an ideal destination of cryptographists, but how to guarantee automatic cipher safe enough to be used in real application and designing time less enough to fit practical requirement are key problems. We first combine evolution computation and programmable chip to study cipher automatic design and hardware resource reconfiguration. We have studied main attacks...
By integrating the recursive and iterative thoughts commonly used in modeling fractals, an intelligent plant simulation technique is presented in the paper. With the technique, not only can the overall shapes and details of plants be controlled interactively by designing parametric fractals and parameterized growth process of fractals, but also the complexity in space and time of fractal-plants be...
The importance of image tracking system to TV guidance missile and the modes of target tracking were introduced firstly. Aiming at disadvantage of primal algorithm of template matching, genetic algorithm (GA) is applied to template matching. The GA adopts new encoded mode and defines new cross and mutation operator. In addition, the paper analyses the influence of crossover and mutation probability...
Test sequencing is a binary identification problem wherein one needs to develop a minimal expected cost testing procedure to determine which one of a finite number of possible failure sources, if any, is present. directed towards the test sequencing problem in the sequential fault diagnosis for systems, the test sequencing problem is converted to searching the minimal complete test sequencing based...
TSP is a well-known NP-hard problem. Although many algorithms for solving TSP, such as linear programming, dynamic programming, genetic algorithm, anneal algorithm, and ACO algorithm have been proven to be effective, they are not so suitable for the more complicated large scale TSP. This paper offers a method to decompose the large-scale data into several small-scale data sets by its relativity; and...
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