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This paper provides an introduction to and an overview of type-2 fuzzy Logic system and its optimal computation. The difference between a type-2 fuzzy set (T2 FS) and a type-1 fuzzy set (T1 FS) is discussed. The need of optimal design for the type-2 fuzzy Logic system is presented. The important advance in the optimal computation for interval type-2 fuzzy sets (IT2 FLS) and systems is demonstrated...
Using a model of rat gastric ulcer to check the changes of trefoil factor family 2 (TFF2) and epidermal growth factor(EGF) in gastric mucosa during healing of experimental gastric ulcer. Rats gastric ulceration were caused by injection acetic acid to submucosa of gastric anterior wall. TFF2, EGF peptide were localized by the immunohistochemistry (IHC), and semi-quantitation analyzed with the integrated...
To explore the expression changes of trefoil factor 2 ( TFF2 ) and trefoil factor3 (TFF3) gene in submandibular glands during the self healing of experimental gastric ulcer in rats for revealing the relationship between them. The expression of TFF2, TFF3 peptide and genes were detected by immunohistochemistry and RT-PCR methods respectively in gastric ulcer group, saline control group and normal group...
Inspired by the self-protection mechanism of nature immune system, a spam short message filtering algorithm is proposed based on artificial immune system. The algorithm principle and process is given, the conception of affinity, antigen-antibody is introducted. The variability of antibody in time makes the system has a good dynamic performance and adaptability. the feasibility and effectiveness of...
Optimization problems abound in the scientific research and engineering applications in various fields, the optimization method has important theoretical and practical value. The existence of the traditional shortcomings of optimization methods, in today's mass production application is limited. Multidisciplinary research to solve the optimization problem provides a new approach to biological intelligence...
We present an immune recognition algorithm for improving the performance of promoter regions prediction in this paper. We focus on generation of immune detectors by using negative selection operator and clone selection operator. Subsequently, the detectors are evolved. The results of testing on large genomic sequences by comparisons show that our algorithm is efficient with higher sensitivity and...
Based on artificial immune theory, a new model of active defense for analyzing the network intrusion is presented. Dynamically evaluative equations for self, antigen, immune tolerance, mature-lymphocyte lifecycle and immune memory are presented. The concepts and formal definitions of immune cells are given, the hierarchical and distributed management framework of the proposed model are built. Furthermore,...
Classification is a major task in the gene sequence analysis. Based on the general principle of artificial immune system, this paper first constructed a classifier which inducted antibody-antigen identification, immune colonel reproduction, hypermutation, affinity mature and the network suppression, by simulating how the antigens stimulate the immune network and how the immune network responds. Then,...
The model species genomes project has played a very important role in the research of human genomes. By comparing and identifying the genomes' information in the different biological evolution stages with the model species genomes, it is favorable to understand deeply the genomes' structure and function of the advanced species, especially the human being, and to reveal the life's essential law. In...
On the basis of biological immune control and response mechanism, a way of immune feedback control for information anomaly detection is presented. Such problems as immune detection mechanisms and mathematic model are discussed. Shown on the experiments results, the algorithm joined immune feedback provides a dynamic detecting way and keeps stability of detection. Its detecting efficiency is increased...
In this paper, a gene immune detection algorithm with complement operator in the artificial immune system is proposed. Such problems as gene detection, immune memory and niching strategy in the algorithms are discussed. Application on the area of anomaly detection is considered. Shown by simulation experiments, the algorithm joined vaccine operator and complement operator improves the problem of hole...
Based on the inspiration of immune system, a new multi-objective optimization algorithm is presented. The proposed approach adopts a cluster mechanism in order to divide the population into subpopulations for the stage of selection and reproduction. In the immune clonal selection process, a hybrid hypermutation operator is introduced to improve the variety of antibodies and affinity maturation, thus...
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