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With the popularization of information and the establishment of the databases in great number, and how to extract data from the useful information is the urgent problem to be solved. Machine learning is the core issue of artificial intelligence research, this paper introduces the definition of machine learning and its basic structure, and describes a variety of machine learning methods, including...
In this paper we propose a new method to analyze the similarity/dissimilarity of DNA sequences which can be used in human identification field. This method is based on the graphical representation proposed by Randic et al [M. Randic, M. Vracko, L. Nella, P. Dejan, Chem. (2003)]. Instead of calculating the leading eigenvalues of the matrix for graphical representation we smooth the zigzag curve and...
This paper presents a new particle swarm optimization (PSO) algorithm for tuning parameters (weights) of neural networks. The new PSO algorithm is called fuzzy logic-based particle swarm optimization with cross-mutated operation (FPSOCM), where the fuzzy inference system is applied to determine the inertia weight of PSO and the control parameter of the proposed cross-mutated operation by using human...
The use of graphology in recruitment processes has become a popular tool in many human resources companies. This paper presents a model that links features from handwritten images to a number of personality characteristics used to measure applicant aptitudes for the job in a particular hiring scenario. In particular we propose a model of measuring active personality and leadership of the writer. Graphological...
This paper presents a new neural network to perform the visual pattern classification task. The neural network is called I-PyraNet which is a hybrid implementation of the PyraNet and the concepts of the inhibitory fields. In order to improve the results obtained by this neural network, it is also presented the 2-D Gabor filter. Furthermore, both, the neural network and the filter, are applied over...
In today's globally expanding business world, protecting the identity and transactions of online consumers is crucial for any company to reach out for new markets. This directs digital information technologies towards the adoption of stronger and more secure authentication schemes. Although biometric-based user authentication systems have proven superiority over the traditional ones, there are several...
Because of the importance of dust abatement by sprayer, this paper studies the characteristic of fogdrop generated by one kind of nozzle on basis of Back Propagation (BP) Neural Network, using Marvin-3000 type laser granularity instrument in lab. It is pointed that the maximum and minimum errors of widely used BP Neural Network are 2.18% and 0.61%, when we compute the fogdrop diameter computing repeatedly...
Modeling and quantifying different human factors continue to be one of the major challenges in introducing new biometric systems. For example, drivers of some of our behavior differences are still mysteries, and hence cannot be modeled.In this paper, we propose a novel biometric system; it introduces the visual search and short-term memory human factors to the world of biometrics. This homogeneous...
Presence or personal status information is going to be an integral part of human life in the near future. With the possibility of personalizing user preferences in a fine grained way, mobile presence will appeal to most users. Among all the advantages, one of the most annoying problems is to set the presence status manually each time. This paper discusses the development of an intelligent agent based...
This paper aims at the construction of a partner system with facial expressions, which plays a seven-card stud poker game with a human player against an opponent player. If a human player needs some advice on a game, the partner system has various facial expressions according to the current situation. Fuzzy theory is applied to decision-making part in the partner system and neural network is applied...
The knowledge-acquisition mechanism, which is generated from rough set and granular computing, is integrated into mind evolutionary algorithm. The evolution direction is guided by the knowledge discovered in the evolution process. As a result, the mind evolutionary algorithm under the guide of knowledge is realized, which indicates the knowledge abstraction and usage functionalities during human beings'...
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