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matlab-n-net-tl
- 神经网络是单个并行处理元素的集合，我们从生物学神经系统得到启发。在自然界，网 络功能主要由神经节决定，我们可以通过改变连接点的权重来训练神经网络完成特定的功能-A single neural network is a collection of parallel processing elements, we have been inspired by biological nervous system. In nature, the network function of a decisi
psoandimprovedpso
- 基本粒子群优化算法和改进粒子群优化算法程序，包括：用基本粒子群算法求解无约束优化问题，用带压缩因子的粒子群算法求解无约束优化问题，用线性递减权重粒子群优化算法求解无约束优化问题，用自适应权重粒子群优化算法求解无约束优化问题，用随机权重粒子群优化算法求解无约束优化问题，用学习因子同步变化的粒子群优化算法求解无约束优化问题，用学习因子异步变化的粒子群优化算法求解无约束优化问题，用二阶粒子群优化算法求解无约束优化问题，用二阶振荡粒子群优化算法求解无约束优化问题，用混沌粒子群优化算法求解无约束优化问题，
SAPSO
- 权重改进粒子群算法中的自适应权重法，平衡了PSO算法的全局探索能力和局部改良能力-Weight improved particle swarm algorithm in the adaptive weighting method to balance the global exploration of the PSO algorithm is improved capacity and capacity of local
RSSI--dynamic-weights-method
- 基于RSSI的动态权重定位算法研究基于RSSI的动态权重定位算法研究-RSSI-based location algorithm of the dynamic weight of RSSI-based location algorithm of the dynamic weight
SAPSO
- 自适应的粒子群基本算法 里面没有适应度函数 可以自己编写好 然后进行调用.权重改进粒子群算法中的自适应权重法，平衡了PSO算法的全局探索能力和局部改良能力.-This is the basic matlab program of SAPSO
(IWAPSO)MATLAB
- 改进粒子群优化算法(IWAPSO)的MATLAB源程序,这个是引入权重特征的粒子群优化算法-Improved particle swarm optimization algorithm (IWAPSO) MATLAB source, this is the introduction of weight characteristics of particle swarm optimization algorithm optimization algorithm
(PURPSO)MATLAB
- 改进粒子群优化算法(PURPSO)的MATLAB源程序,这个是引入变化的权重特征的粒子群优化算法-Improved particle swarm optimization algorithm (PURPSO) MATLAB source, the weight of this change is the introduction of characteristics of particle swarm optimization algorithm
vxatd
- 从先验概率中采样，计算权重，欢迎大家下载学习，现代信号处理中谱估计在matlab中的使用。- Sampling a priori probability, calculate the weight, Welcome to download the study, Modern signal processing used in the spectral estimation in matlab.
setay
- 数据模型归一化，模态振动，基于分段非线性权重值的Pso算法，在MATLAB中求图像纹理特征。- Normalized data model, modal vibration, Based on piecewise nonlinear weight value Pso algorithm, In the MATLAB image texture feature.
tu233
- Relief计算分类权重，用MATLAB实现的压缩传感，用MATLAB实现动态聚类或迭代自组织数据分析。- Relief computing classification weight, Using MATLAB compressed sensing, Using MATLAB dynamic clustering or iterative self-organizing data analysis.
PSO_adaptation
- 改进型粒子群PSO优化算法MATLAB代码，基于权重改进速度，已封装为函数(Improved particle swarm optimization algorithm PSO MATLAB code, based on the speed of weight improvement, has been encapsulated as a function.)