遗传学习 meaning in Chinese
genetic learning
Examples
- An improved genetic algorithm of wavelet neural network based on chaotic searching
一种改进的基于混沌搜索策略的小波神经网络遗传学习算法 - ( 5 ) based on fuzzy control theory , fuzzy neural network ( fnn ) controller is introduced ; the changeable area and hierarchical genetic algorithm is used to training fuzzy neural network . simulation indicated that this designed fuzzy neural controller is effective
( 5 )在模糊控制的基础上，提出了模糊神经网络控制器，并用本文提出的变区域多层遗传算法与bp相结合进行网络学习，在理论上证明了遗传学习算法的收敛性。 - Another understanding about intrusion detection is viewing machine learning as a searching process , that is to say , intrusion detection is in essence the searching or approximation issue of intrusion rules in accordance to established searching strategy . after some concerned
在基于遗传学习的入侵检测研究中,把机器学习看作一个搜索过程,即入侵检测可视为基于训练样本集,按照既定的搜索策略对入侵规则的搜索或逼近问题。 - In designing a multi - structuring elements filter , combination rules and structuring elements of the morphological transform are determined automatically , and one kind of neural networks is taken for the filter , in optimzing structural parameters of the filter , three computation methods are designed respectively , by adopting some priori information in application fields to guide optimal structural parameter learning procedure , which are the bp adaptive learning algorithm , the heuristic genetic learning algorithm and the inductive simulated annealing learning algorithm
在多结构基元滤波器设计中，通过学习人-机交互选定的目标样本，自动确定形态变换的组合规则及其结构元素，最终以神经网络形式构成滤波器。在结构参数的优化学习中，利用应用领域的先验知识，分别设计了自适应bp学习、启发式遗传学习和引导式模拟退火学习等三种最优化计算方法。 - The dissertation mainly aims at applying several active machine learning strategies to intrusion detection and systematically studies signal analysis techniques of intrusion detection based on statistical learning theory ( slt ) , symbol inductive learning theory and genetic learning method . meanwhile , performance comparison and evaluation among intrusion detection techniques based on different machine learning strategies are presented according to computational learning theory and statistical hypothesis test methodology . intrusion detection is regarded as a pattern recognition problem in term of statistical learning theory ; i
本文的主要工作是将目前几种有生命力的机器学习策略应用于入侵检测技术中,论文从入侵检测的不同视角出发,系统深入地研究了统计学习理论、基于符号的归纳学习理论和遗传学习方法在入侵检测信号分析中的应用技术,并在可能近似正确( pac )学习框架下,利用计算学习理论和统计假设检验方法对基于不同机器学习策略的入侵检测方法进行了性能比较和评估。