资源列表
BP神经网络运动状态分类
- 该程序可以通过训练集对所构建的BP神经网络进行训练,并能通过测试集,即对不同的运动状态进行分类。(The program can train the constructed BP neural network through the training set, and can classify the different motion states through the test set.)
SimpleGATest
- 简单遗传算法解决TSP 并附文档 简单遗传算法解决TSP 并附文档(simple GA test on TSP problem)
chapter3
- 图像处理 人工智能 神经网络 深度学习 数值计算(picture process artificial intelligence bp numberical calculation)
BP预测程序
- bp神经网络实现功率预测,含归一化和反归一化操作,属于通用代码(Power prediction based on BP neural network)
chapter33
- 模糊神经网络就是模糊理论同神经网络相结合的产物,它汇集了神经网络与模糊理论的优点,集学习、联想、识别、信息处理于一体。模糊神经网络可用于模糊回归、模糊控制器、模糊专家系统、模糊谱系分析、模糊矩阵方程、通用逼近器。(Fuzzy neural network is the product of the combination of fuzzy theory and neural network. It combines the advantages of neural network and fuz
structp
- 一个简单的利用Python语言和TensorFlow框架,编写的简单神经网络(A simple neural network tensorflow)
遗传算法
- MATLAB实现遗传算法用于求解无约束问题的最优解。(Use genetic algorithm to solve the optimal solution)
SMO算法实现
- 使用Matlab重新实现了svm算法中的核心算法SMO,即序列优化问题。 其中my_seqminopt.m是重写的实现代码,完成了核心的迭代优化过程。(MATLAB code of SMO algorithm in SVM algorithm)
BPtrainedbyPSOalgorithm
- pso优化bp,程序大框架已有,自己修改数据就可以使用(PSO optimization BP, the program has been large frame, modify their own data can be used)
hyperopt-hyperopt-0.1-2-gba2fe77
- HyperOpt:分布式异步超参数优化 HyperOpt是串行和并行优化Python库用于搜索空间,它可以包括实值的,离散的,有条件的维度.(hyperopt: Distributed Asynchronous Hyper-parameter Optimization Hyperopt is a Python library for serial and parallel optimization over awkward search spaces, which may incl
hyperopt参数调优
- HyperOpt:分布式异步超参数优化 HyperOpt是串行和并行优化Python库用于搜索空间,它可以包括实值的,离散的,有条件的维度.(hyperopt: Distributed Asynchronous Hyper-parameter Optimization Hyperopt is a Python library for serial and parallel optimization over awkward search spaces, which may incl
Smartduino红外
- arduion基于红外识别,控制电机,实现壁障(Arduion, based on infrared recognition, controls the motor and achieves the barrier)