资源列表
lstm_tensorflow
- tensorflow2.0的Lstm实现(LSTM implementation of tensorflow 2.0)
new1_1
- 混沌神经网络的单神经元模型，输出李雅普诺夫指数和a的图谱(Chaotic neuron model. Output Lyapunov as y, a as x.)
bas代码
- 基于天牛须算法的例子，展现天牛须算法的性能，对目标函数优化，简单代码即可实现。(Based on the example of Taurus whisker algorithm, the performance of Taurus whisker algorithm is demonstrated, the objective function is optimized, and the simple code can be realized)
贝叶斯分类
- 通过python进行编程，运用贝叶斯算法原理，对iris数据集进行分类(Classification of iris data sets by Bayes)
电气1903班乔力奎201910190第三个报告
- 利用BP神经网络算法解决TSP问题,并且详细介绍了BP神经网络的基础知识。(Using BP neural network algorithm to solve TSP problem)
SAPSO
- 模拟退火优化的粒子群算法，主要避免局部最优。(Particle swarm optimization with simulated annealing optimization mainly avoids local optimization)
ResNet-Tensorflow-master
- 使用tensorflow框架对高光谱图像进行识别、分类(Recognition and classification of hyperspectral images using densenet structure)
基于DSP的帧差法检测移动目标
- 基于dsp上调试帧间差分法对运动目标的检测，芯片使用的是DM642J进行软仿真。
canny
- Canny边缘检测是从不同视觉对象中提取有用的结构信息并大大减少要处理的数据量的一种技术，目前已广泛应用于各种计算机视觉系统。
B-ELM_good
- 这是一份能够运行得通的代码，请放心下载，改进的极限学习机。(This is a workable code, please rest assured to download, limit learning machine.)
坐标变换
- 汽车运动学，其中空间六棱柱变换是差速两轮车正逆解，以及三轮车正逆解的最基础编程。(Vehicle kinematics, in which the space hexaprism transformation is the most basic programming of the forward and inverse solutions of the differential two wheeled vehicle and the three wheeled vehicle.)
RNN_股票预测
- 基于python语言，tensorflow框架，通过rnn循环神经网络实现对茅台酒开盘价的预测(Based on Python language and TensorFlow framework, the prediction of opening price of Moutai wine was realized through RNN circulating neural network)