搜索资源列表
IA_TSP
- 使用基于信息熵的免疫算法解决TSP问题。-based on the use of information entropy algorithm to solve the immune TSP.
mianyi
- 基于信息熵的免疫算法，解决TSP问题的，但是我也是初学，这个看不太明白，共享一下吧-Entropy-based immune algorithm to solve TSP problem, but I am also a beginner, do not quite understand this view, share yourself
INFORMATION_THEORETIC_LEARNING
- 模式识别方面的文章，基于瑞利熵的机器学习方法，以及应用举例，建议做MMI的同志学习。-Pattern Recognition in the article, based on Rayleigh entropy machine learning methods, and application examples, it is recommended to do MMI comrades to learn.
GA
- 热力学遗传算"~-(therm odynamical genetic algorithms，简称TDGA)借鉴固体退火过程中能量与熵的竞争 模式来协调GA 中“选择压力”和“种群多样性”之间的冲突．然而TDGA 目前极高的计算代价限制了其应用．为了提 高TDGA的计算效率，首先定义一种等级熵(rating—based entropy,J~j称RE)度量方法，它能以较小的计算成本度量种 群中个体适应值的分散程度．然后引入分量热力学替换规则(component thermod)rnami
ica
- 基于负熵的ICA算法，独立成分分析；负熵；盲信号分离；固定点-Negative entropy based ICA algorithm, independent component analysis negative entropy blind signal separation fixed point
pcnn2
- a simplified PCNN based on minimum cross entropy, can segment the images effectively
relixue
- 传算法是一种基于生物进化原理的启发式并行搜索和优化技术，常被用于优化计算。该文针对经典遗传算法在多目标优化计算中存在的不足，结合热力学中熵的概念，利用约束交叉、适应度共享技术来进行多目标函数的优化计算。实验结果显示这种改进型遗传算法能得到一个较好的Ｐａｒｅｔｏ优集。 -Propagation algorithm is a heuristic based on the principle of biological evolution parallel search and optimiza
SFG
- 基于信息熵计算属性的信息增益，最终得到约简后的属性集，实现特征选择-Feature Selection based on information entropy gain, then the reduct of attributes are obtained.
feature_selection_similarity
- Feature selection method using similarity measure and fuzzy entroropy measures based on the article: P. Luukka, (2011) Feature Selection Using Fuzzy Entropy Measures with Similarity Classifier, Expert Systems with Applications, 38, pp.
yuandaima
- 两种不同编码的黄金分割法 基于信息熵的免疫算法 最速下降法 梯度算法-Two different coding golden section method immune algorithm based on information entropy gradient algorithm steepest descent method
Clustering-Algorithms
- 在众多聚类算法中,基于划分的模糊聚类算法是模式识别中最常用的算法类型之一.至今,文献中仍不断 有关于基于划分的模糊聚类算法的研究成果出现.为了能更为系统和深入地了解这些聚类算法及其性质,本文从改 变度量方式、改变约束条件、在目标函数中引入熵以及考虑对聚类中心进行约束等几个方面,对在 C-均值算法的 基础上得到的基于划分的模糊聚类算法作了综述和评价,对各典型算法的优缺点进行了实验比较分析.指出标准 FCM算法被广泛应用的原因之一是它对数据的比例变化具有鲁棒性,而其他类似的算法对这种
segment
- 基于改进型遗传算法的图像最佳熵阈值分割方法，完美运行，无BUG-Best Entropy-based image thresholding method improved genetic algorithm
ApEn
- 基于MATLAB的编写的近似熵算法ApEn，还可以进行后续改进，如快速近似熵算法。-Prepared based on approximate entropy MATLAB algorithm ApEn, it can also be subsequent improvements, such as fast approximate entropy algorithm.
bpback
- 神经网络比较基础的算法，实现梯度下降和反向传播，以及L2规范化、交叉熵代价函数的引入，卷积神经网络 该算法用于mnist数据测试，有详细中文注释-Neural network based on the comparison algorithm, gradient descent and back-propagation, and L2 standardization introduced cross entropy cost function, convolution neural netw
staah
- 采用的是通用的平面波展开法,基于负熵最大的独立分量分析，基于K均值的PSO聚类算法。- Using common plane wave expansion method, Based on negative entropy largest independent component analysis, K-means clustering algorithm based on the PSO.
kunqanpeng
- 基于负熵最大的独立分量分析，保证准确无误，是学习通信的好帮手，计算十字叉丝的在不同距离的衍射图像。- Based on negative entropy largest independent component analysis, Ensure accurate communication is learning a good helper, Calculation crosshairs diffraction image at different distances.
mt121
- 能量熵的计算，实现用SDRAM运行nios，同时用SRAM保存摄像头数据，汽车课设货车Matlab驱动力图程序。- Energy entropy calculation, Implemented with SDRAM run nios, while saving camera data SRAM, Car class-based truck driver trying to Matlab program.
eg710
- 基于负熵最大的独立分量分析，可以动态调节运行环境的参数，完整的图像处理课设，包含所有源代码，汽车图像。- Based on negative entropy largest independent component analysis, Can dynamically adjust the parameters of the operating environment, Complete class-based image processing, contains all of the sour
qeng-V7.1
- 基于负熵最大的独立分量分析，线性调频脉冲压缩的Matlab程序,基于混沌的模拟退火算法。- Based on negative entropy largest independent component analysis, LFM pulse compression of the Matlab program, Chaos-based simulated annealing algorithm.
jeipou_v30
- 能量熵的计算，遗传算法无功优化，基于人工神经网络的常用数字信号调制。- Energy entropy calculation, Genetic algorithm based reactive power optimization, The commonly used digital signal modulation based on artificial neural network.