搜索资源列表
BP
- 该代码为基于BP神经网络的预测算法。对于复杂的非线性系统，难以用数学方法准确建模，在这种情况下，可以建立BP神经网络表达这些非线性系统。(The code is a prediction algorithm based on BP neural network. It is difficult for complex nonlinear systems to be modeled accurately by mathematical methods. In this case, BP neura
BP
- 利用BP神经网络实现多酚类预测，代码为二分类与六分类(Using BP Neural Network to Realize Polyphenols Prediction with Two and Six Codes)
PSO-BP
- 粒子群算法优化BP神经网络，可用于指标预测(BP neural network optimized by Particle swarm optimization (PSO) that can be used for index prediction)
BP神经网络负荷预测代码
- 能够对一天之中每隔15min的电力负荷数据进行预测(load forecast based on BP neural network)
BP优化
- 基于bp模型的优化预测，基于bp神经网络的数字识别系统设计(Optimization prediction based on BP model)
bp
- 这是一个bp短时预测的程序，含有界面GUI。大家可以参考。(This is a program for short-term prediction of BP, which contains interface GUI. You can refer to it.)
遗传算法优化BP神经网络预测彩票实现代码
- BP神经网络彩票预测MATLAB代码，遗传算法优化BP神经网络预测彩票实现代码(MATLAB Code for Prediction of Neural Networks based on BP Neural Networks)
BP
- 神经网络负荷预测，可用于负荷预测，方便快捷。(Neural network load forecasting can be used for load forecasting, which is convenient and quick.)
bp神经网络
- 运用bp神经网络建立预测模型，通过matlab实现未知数据的预测(The bp neural network is used to establish the prediction model and the unknown data is predicted by matlab.)
BP
- BP网络是通过输入层到输出层的计算来完成的。多于一层的隐含层虽然能在速度上提高网络的训练,但是在实际应用中需要较多的训练时间,而训练速度可以用增加隐含层节点个数来实现,因此在应用BP神经网络进行预测时,选取只有一个隐含层的三层BP神经网络就足够了。(The BP network is completed through the calculation of the input layer to the output layer. Although the hidden layer of more
基于BP神经网络的小时、日交通流预测
- 基于BP神经网络对交通流的预测：包括了小时交通流预测和日交通流预测(Prediction of traffic flow based on BP neural network)
高铁客运量预测
- BP神经网络等多种算法预测高铁站客运量，程序下载可直接运行。(BP neural network and other algorithms predict high-speed rail station passenger volume, program downloading can be directly run.)
bp-pso
- pso-bp神经网络,用来进行预测,版本较低(PSO-BP neural network)
BP神经网络预测激光焊接数据
- 建立BP神经网络拟合曲面，实现激光焊接数据的预测(BP neural network mainly through 4 steps in the implementation of MATLAB, read file setting parameters, create a BP network, neural network training, neural network simulation. After the program, some basic parameters are set
蚁群bp
- 用蚁群算法优化bp神经网络，增加预测精度(Using ant colony algorithm to optimize BP neural network and increase prediction accuracy)
BP神经网络预测
- BP神经网络是目前较为简单的预测算法，但是需要要有足够的样本，本例使用神经网络算法，两步预测(BP neural network is a relatively simple prediction algorithm at present, but it needs enough samples. This example uses neural network algorithm and two-step prediction.)
采用BP神经网络进行非线性预测
- 该代码包括单隐含层BP和双隐含层BP。建立基于BP神经网络的预测模型，对数据进行随机排列，选取训练样本和测试样本，训练样本训练网络，测试样本进行验证(The code includes single hidden layer BP and double hidden layer BP. Establish a prediction model based on BP neural network, arrange the data randomly, select training sample
基于遗传算法优化BP神经网络的非线性预测
- 针对BP神经网络的初始权值和阈值是随机选取的弊端，采用遗传算法寻优BP的初始权值和阈值，然后进行BP训练和测试。遗传算法包括编码 选择 交叉 和变异等操作(Aiming at the disadvantage that the initial weights and thresholds of BP neural network are randomly selected, genetic algorithm is used to optimize the initial weights and
遗传算法优化BP网络(用于电力负荷预测预测）
- 遗传算法改进的bp神经网络精准预测符合数据(Precision prediction coincidence data of BP neural network improved by genetic algorithm)
BP神经网络预测 程序
- BP神经网络的预测算法及实现属于深度学习的内容(The prediction algorithm and Realization of BP neural network belong to the content of deep learning)