Description: 一个基于Matlab的人工免疫算法%Immune Algorithm based on the immune network model for function f(x1,x2) optimum-Matlab-based artificial immune algorithm Immune Algorithm based on the immune network model for function f (x1, x2) optimum Platform: |
Size: 5120 |
Author:tangkezong |
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Description: 针对实际对象数学模型不明确而难以控制的问题,采用人工免疫网络的离散模
型与学习算法,将人工免疫系统与神经网络结构的优势相结合,提出了一种基于人工免疫
网络的模式识别算法,构造了对象识别的人工免疫网络模型.该算法综合了网络节点的定
位与参数调整以及对基函数的平滑因子实施调谐等功能,有效地解决了径向基函数
(RBF)神经网络模式识别的两个阶段任务,使模式识别的精度有较大的改进.采用两个不
同对象函数进行的仿真试验表明,该算法具有快速收敛性与较高的准确性.
-Mathematical model for the actual object is not clear and difficult to control the problem, the use of artificial immune network model and the discrete learning algorithm, artificial immune systems and neural networks combine the advantages of structure, an artificial immune network based on pattern recognition algorithms, Construction of the object identified by artificial immune network model. the algorithm is a combination of network nodes to adjust the position and parameters as well as the basis function implementation of the smoothing factor, tuning and other functions, to effectively solve the Radial Basis Function (RBF) neural network pattern recognition of two phase of the task, so that the accuracy of pattern recognition have greater improvements. the use of two different object functions of the simulation tests show that the algorithm has fast convergence and higher accuracy. Platform: |
Size: 114688 |
Author:杨玉琴 |
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Description: 人工免疫系统是一种由生物免疫系统启发的学习外界物质的自然防御机理的学习技术。目前,人工免疫系统已开始成
为计算智能研究的新领域。本文首先介绍免疫系统的机理,然后给出人工免疫网络模型和免疫学习算法,接着说明人工免疫系统的
最新研究成果,最后指出其进一步研究的方向。
-Artificial Immune System(AIS) implements a learning technique inspired by the biological immune system which is a remarka-
ble naturaldefensemechanism that learns about foreign substances.AIS has been a novelbranch of computational intelligence.Firstly, the cor-
respondingmechanisms of biological immune system are introduced. Secondly, artificial immune network models and immune laerning algo-
rithm are presented.Thirdly, the new applied researches on AIS are illustrated.Finally, the directions for further study are provided.
Platform: |
Size: 4096 |
Author:小蓝 |
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Description: 人工免疫克隆选择算法是一种比较新型的智能算法,其基本算法结构与遗传算法是类似的,以下源码是为网络节点分组调度问题而设计的算法。-Artificial immune clonal selection algorithm is a relatively new type of intelligent algorithms, the basic algorithm structure and the genetic algorithm is similar to, the following source code for the network node designed for packet scheduling algorithms. Platform: |
Size: 1024 |
Author:张望 |
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Description: De Castro,国际上最早做克隆选择算法的大师,本代码是经典人工免疫网络算法的源程序(非本人编写,是De Castro的源程序)。-De Castro, the first international master to do the clonal selection algorithm, the code is the classic source of artificial immune network algorithm (not my writing, is De Castro of the source.) Platform: |
Size: 73728 |
Author:司静 |
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Description: 自重构的人工免疫网络模型Since the reconstruction of the artificial immune network model-Since the reconstruction of the artificial immune network model Platform: |
Size: 468992 |
Author:us |
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Description: 人工免疫算法:基本免疫算法基于生物免疫系统基本机制,模仿了人体的免疫系统。基本免疫算法从体细胞理论和网络理论得到启发,实现了类似于生物免疫系统的抗原识别、细胞分化、记忆和自我调节的功能 。如果将免疫算法与求解优化问题的一般搜索方法相比较,那么抗原、抗体、抗原和抗体之间的亲和性分别对应于优化问题的目标函数、优化解、解与目标函数的匹配程度-Artificial immune algorithm: the basic immune algorithm is based on the basic mechanisms of biological immune system, mimicking the body s immune system. Basic immune algorithm inspired by the somatic theory and network theory, similar to the antigen recognition of the biological immune system, cell differentiation, memory and self-regulating function. If the immune algorithm for solving optimization problems in a general search method, compared to the affinity between antigen, antibody, antigen and antibody correspond to objective function optimization problems, optimal solution, match of the solution with objective function Platform: |
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Author:jax |
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Description: Immune(免疫)是从拉丁文Immunise衍生而来的。很早以前,人们就注意到传染病患者痊愈后,对该病有不同程度的免疫力。因此,在相当长时期内,免疫在微生物学和病毒学上是指免除瘟疫;换言之,是指对传染因子的再次感染有抵抗力,这是机体在初次感染后对该传染因子产生了免疫应答的结果。在医学上,免疫是指机体接触抗原性异物的一种生理反应。免疫系统有能力产生很多种抗体,免疫系统的控制机制可完成这一调节功能,即只产生所需数量的抗体。根据网络理论,如果任一细胞系中的细胞由于抗原的刺激而被激活并开始繁殖,其它能识别这种基因类型的细胞系也被激活并开始繁殖。这样,如果这一过程连续地进行,就构成了对自身的免疫,并且通过所有淋巴细胞的作用实现了调节机制。-Immune (Immune) Immunise derived Latin.Long ago, people noticed that infectious diseases after recovery, patients with the disease have different degree of immunity.Therefore, in a long period of time, the immune in microbiology and virology refers to exempt the pestilence In other words, it is to point to the infectious factors of infection is resistant again, this is the body for the infectious factors in primary infection after the result of the immune response.In medicine, immunity refers to the body contact antigenicity foreign body of a physiological response.Immune system has the ability to produce many kinds of antibodies, the control mechanism of the immune system can complete the adjustment function, which makes the required number of antibodies.According to the theory of the network, if any cell activation by antigen stimulation of cell line and began to breed, other can identify the gene types of cell lines are activated and begin to reproduce.So, if this process continuo Platform: |
Size: 3072 |
Author:leo 李 |
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Description: 人工免疫网络实现分类聚类函数寻优,算法不错,希望对大家有用-This is the Fisher linear discriminant classifier, the general classification of the image of a good effect of artificial immune network to achieve classification clustering function optimization, the algorithm is good, we hope to be usefu Platform: |
Size: 684032 |
Author:杨明 |
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