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LVQ
- LVQ(学习矢量量化)算法：它是Kohonen的有监督学习的扩展形式，融合了自组织和有导师监督的技术。-LVQ (LVQ) algorithm : it is Kohonen of supervised learning form of the expansion, integration of self-organization and the technical supervision of instructors.
ID3Algorithm_jianjie
- ID3算法有一定的自学习、自组织能力,适用于复杂系统的智能诊断。以实例验证了该算法对RH-KTB真空抽气系统故障诊断的有效性。-ID3 algorithm to a certain extent self-learning, self-organization, applied to a complex system of intelligent diagnosis. Examples to show that the algorithm of RH - KTB vacuum exhaust s
pso_Methods_for_Pattern_Recognition_and_Image_Proc
- A dissipative particle swarm optimization is developed according to the self-organization of dissipative structure. The negative entropy is introduced to construct an opening dissipative system that is far-from-equilibrium so as to driving th
1SelfOrganizingMap_Cluster
- 使用SOM(Self-Organization Map)進行資料分群，以載入座標點資料集及並以TChart分群顯示為例.
LVQ
- LVQ(学习矢量量化)算法：它是Kohonen的有监督学习的扩展形式。融合了自组织和有导师监督的技术，学习方法是竞争的，但产生方式是有教师监督的，也就是说，竞争学习是在由训练输入指定的各类中局部进行。-LVQ (LVQ) algorithm : it is Kohonen of supervised learning the expansion of the form. The convergence of self-organization and supervision of the ins
solutions
- Computer Organization and Design 3e solutions 白算盘第三版习题解答-Computer Organization and Design 3e solutions white thinking to answer the third edition of Exercises
ClusteringanalysisbasedonSOFMnetwork
- 基于自组织特征映射网络的聚类分析，是在神经网络基础上发展起来的一种新的非监督聚类方法，分析了基于自 组织特征映射网络聚类的学习过程，分析了权系数自组织过程中邻域函数和学习步长的一般取值问题，给出了基于自组织 特征映射网络聚类实现的具体算法，并通过实际示例测试，证实了算法的正确性。 -Based on self-organizing feature map network cluster analysis, neural network is developed on the basi
A_Self_Organising_Hopfield_Network_for_Pattern_Re
- hopfield network for pattern recognition and use self organization
ninf01
- HEBBIAN SPIKE-TIMING DEPENDENT SELF-ORGANIZATION IN PULSED NEURAL NETWORKS
suanfa4
- 一些经典算法包括：磁盘文件最优存储问题，登山机器人问题，多元Huffman编码变形问题，多元Huffman编码问题，非单位时间任务安排问题，森林问题-Some classic algorithms including: the optimal disk file storage problems, climbing robot problem, multiple Huffman coding deformation, multiple Huffman coding problem, the or
SOFMnet180
- 用SOFM自组织神经网络解决分类问题的MATLAB代码实例-SOFM neural network with self-organization to solve classification problems MATLAB code examples
ART1
- ART网络采用竞争学习策略和自稳机制，能够对任意复杂的环境输入模式实现自稳定和自组织的识别。ART神经网络模型主要有三种结构，即ART1、ART2、ART3。ART1用于处理二进制输入的信息，ART2可用于处理二进制和模拟信息两种输入，ART3具有人类神经元生物电-化学反应机制，用于分级搜索。-ART network adopt competitive learning strategy and instability mechanism, since any complex environme
kohonen
- 自组织神经网络的C++实现，具有图形化演示效果-self organization map with VC
TFIDF0.6
- 加大命名实体权重的TFIDF算法,其中命名实体包括人名，地名和机构名-the improved TFIDF algorithm is based on the Entity,which includes the person,location and organization
som_src
- 自组织神经网络算法实例，基本方法等源代码，对学习神经网络很有帮助-Self- organization neural network algorithm for instance , the basic methods of source code helpful on learning neural networks
mmune-optimization-
- 免疫优化算法在物流配送中心选址中的应用 生物免疫系统是一个高度并行、分布、自适应和自组织的系统，具有很强的学习、识别和记忆能力 本例为物流配送中心选址模型，满足规模容量，辐射范围，一个需求点进一个配送中心。-Immune optimization algorithm in the logistics distribution center location of application Biological immune system is a highly parallel, di
Reverseorganizationsofnon-emptylist
- 非空链表的逆序组织，关于链表的创建删除等基础链表操作-Reverse organization of the non-empty list, create a linked list, delete the basis of linked list operations
Selforgmap
- 自组织映射网络测试实例：实现不同学习法则下的样本点分类图解，适用于SOMF入门学习者-Self organization mapping
meunier08age
- 人脑功能网络。利用小波相关，发现年轻被试和老年被试都具有显著优于随机网络的模块性,但随着年龄老化, 脑功能网络模块化结构和各模块内节点地位会逐渐发生变化-Age-related changes in modular organization of human brain functional networks ARTICLE in NEUROIMAGE · DECEMBER 2008 Impact Factor: 6.36 · DOI: 10.1016/j.neuroimage.20
algorithm-based-on-virtual-force
- 基于虚拟力的自组织覆盖算法，实现无线传感器节点在二维平面的有效覆盖，提高节点的覆盖效率和均匀度。-Based on the virtual force of the self- organization covering algorithm, the realization of the wireless sensor nodes in the two-dimensional plane of the effective coverage, improve the efficiency and