资源列表
Bacteria-algorithm
- 细菌群体趋药性算法同时使用单个细菌在引诱剂环境下的应激反应动作和细菌群体间的位置信息交互来进行函数优化.-Bacterial colony chemotaxis algorithm using both information exchange position of the individual bacterial stress response action and the bacterial population in the environment between attractant
matrix_factorization
- 矩阵分解模型，给定一个用户-item评分矩阵，有些评分空缺，利用该模型推测空缺值-a matrix_factorization model for recommendation
sjwj
- 利用数据挖掘分类器的原理对从UCI数据库中下载的心脏病数据集进行分类-The principles of data mining classifier downloaded UCI dataset heart disease classification
mLMNN2.5.1-WithMT
- mLMNN large margin metric learning 基于最大间隔的度量学习。-large margin metric learning
BP-algorithm
- BP算法的功能是实现一定条件下的全局最优解。-BP algorithm function is to achieve global optimal solution under certain conditions.
beibao
- 模拟退火算法是一种通用的随机搜索算法，是对局部搜索算法的扩展。与一般局部搜索算法不同，SA以一定的概率选择领域中目标值相对较小的状态，是一种理论上的全局最优算法。-Simulated annealing algorithm is a common random search algorithm is an extension of local search algorithm. Different general local search algorithm, SA with a certain
main
- 回火退火法作为模拟退火法的改进方法，当退火一定程度时讲温度升高即回火，然后在继续退火，反复即可跳出最优陷阱，保证全局最优解的求解效率质量。-Tempering annealing as an improved method of simulated annealing, speaking when the annealing temperature that is tempered to some extent, and then continue annealed repeatedly to
Stochastic-optimization-method
- 随机性多次寻优法,随机性算法能够有效地寻找全局最优解。-Stochastic optimization method many times, random algorithm can find the global optimal solution.
bp-ga-method
- 基于遗传算法的BP神经网络算法(以下简称BP—GA)就是在BP神经网络的学习过程中，将权重和阀值描述为染色体，并选取适宜的适应函数，然后进行GA迭代，直到某种意义上的收敛．-GA BP neural network algorithm (hereinafter referred to as BP-GA) is in the learning process BP neural network, the weights and thresholds described as chromosomes
shenjingwangluo
- 本代码为基于matlab的神经网络源代码，未经过训练，可用。-The code is based on a neural network matlab source code, untrained, are available.
libsvm32
- matlab下libsvm工具箱，使用于32位系统-lib svm
KC_Prak_V_NN
- IN THIS PROGRAM, WE CAN USE THE NN ON VB