资源列表
rbfsysidenty4
- 这是用matlab写的RBF网络辨识函数。-it is very important
show_clusters
- show cluster algorithem read data set from file and show graphical clustering
src
- 基于Tiny OS的NesC语言的源码，配合HBE-Ubi-HealthCare设备使用。本部分是初级实践，令传感器设备中的LED灯亮。-Tiny OS-based source of NesC language, with HBE-Ubi-HealthCare devices. This section is the primary practice, so that the sensor device LED lights.
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
four
- 基于matlab语言，利用BP神经网络设计一个感知器，对输入进行分类-Based on the matlab language, the use of BP neural network to design a sensor, the input classification. .
chan
- TDOA定位chan算法python实现-TDOA location algorithm python achieve chan
Am
- 手写数字特征值提取，提取像素点。手写数字特征值提取，提取像素点。-Feature Extraction of Handwritten Numerals
knn
- 一种新的knn算法，并且比较快，占内存更小-a kind of knn algorithm and faster
linennet_tt.m
- 用自适应线性神经网络进行预测的matlab实例-With adaptive linear neural network to predict ,matlab example.
Through-the-desert
- 用一辆吉普车穿越1000km的沙漠。吉普车的总装油量为500L，耗油量为1L/km。 由于沙漠中没有油库，必须先用这辆车在沙漠中建立临时油库。 该吉普车要以最少的油耗穿越沙漠，应该在什么地方建立临时油库，以及在各处安放多少油为好！-1000km with a jeep through the desert. Jeep assembly oil is 500L, fuel consumption of 1L/km. Since there is no depot in the dese
dltd
- 采用动量梯度下降算法训练BP网络。在本源码中，训练样本定如下：p=[-1 -2 3 1 -1 1 5 -3] 目标矢量为t=[-1 -1 1 1]-Gradient descent algorithm using momentum BP network training. In this source, the training sample set as follows: p = [-1-2 3 1 -1 1 5-3] target vector for t = [-1-1 1 1]
bp_fxxbj
- 采用bp神经网络对非线性函数的拟合：2输入1输出的非线性函数拟合，不适应matlab自带的函数功能。-Bp neural network using nonlinear fitting function: two inputs and one output nonlinear function fitting, suited matlab comes Function.