资源列表
test
- 关于BP神经网络的程序代码，包括阈值和权值的调整，现在在石油开发测井应用非常广泛-Regarding the BP neural network program code, include threshold value and the adjustment of oil well logging, now is used extensively
AddNoise
- 给语音加噪声的一个程序，可以给定需要加噪声的分贝数，程序会自动加载，选用的是随机白噪声。
DecisionTreeid3
- 决策树java实现id3算法2006-java Decision Tree Algorithm to achieve id3 2006
7
- 神经网络BP算法的C语言实现--三层神经元网络，人工神经网络的BP基本算法的C语言实现-BP neural network algorithm for C-language implementation- three-layer neural networks, artificial neural networks, BP algorithm is the basic C-language implementation
非线性的概念、性质及其哲学意义
- 非线性的概念、性质及其哲学意义,对理解世界的本质问题有帮助-nonlinear concept, the nature and significance of philosophy to understand the nature of the world help
遗传算法的一个编程实例
- 打开压缩包，其中的word文档中提供了“m个工件分配给m架机床的效益最优化问题，使用一种遗传算法解决。”的整个编程思路和过程分析。望有相关需要的朋友喜欢-open compressed, the word document provided "m m allocated to the workpiece-machine efficiency optimization, the use of a genetic algorithm to solve." The entire p
ParzenPNN
- 简单的PNN神经网络，里面有demo，运行通过-Simple PNN neural network, which has a demo, run by
proj07-01
- 试验中使用模拟退火算法寻找一6-单元网络能量最小化的模型。模拟退火算法是模拟物理学上的退火技术。其优势在于有可能使系统从局部极小值跳出。-Simulated annealing algorithm used in the experiments to find a 6- unit network model of energy minimization. Simulated annealing algorithm simulates the physics of annealing. The a
ABC
- 是属于人工蜜蜂群优化算法的源代码，有助于自此基础上进行编写，和更好理解人工群优化算法-Are artificial bee swarm optimization algorithm source code, written on the basis of help since then, and better understanding of artificial swarm optimization
EX04
- 遗传算法，用此算法可以得到很多计算背包问题的方法，可以和其他的算法进行比较。-Genetic algorithm, using this algorithm for calculating the backpack can be a lot of problems, and other algorithms can be compared.
Based_on_genetic_algorithm_for_solving_knapsack_pr
- 背包问题(Knapsack problem)是一种组合优化的NP完全问题, 相似问题经常出现在商业、投资组合优化、组合数学，计算复杂性理论、密码学和应用数学等领域中，因此具有广泛的实际应用领域。-Knapsack problem (Knapsack problem) is a kind of combinatorial optimization of NP-complete problem, the problem often similar to business, investment po
DifferentialEvolution(matlab)
- Differential Evolution (matlab)-Differential Evolution (Matlab)