搜索资源列表
ga_bp
- 遗传算法优化神经网络在数据预测方面的应用-The genetic algorithm optimization neural network data to predict
BP-GA
- 一种实现话务预测预测算法，基于遗传算法优化神经网络，源码+数据，效果很好-A traffic forecast prediction algorithm based on genetic algorithm optimization neural network source+ data, the effect is very good
Ga-BP
- 基于遗传算法优化的BP网络，非线性拟合程序。可用于多个方面，比如预测模型的建立，具有比BP网络更高的预测精度和收敛性。-Based on genetic algorithm optimization BP networks, nonlinear fitting procedure. Can be used in many aspects, such as the prediction model, higher than the BP network prediction accuracy an
gamyexam
- 基于遗传算法的BP神经网络(可以预测、可以分类)-Genetic Algorithm Based on BP neural network
GA-1
- 遗传算法数据预测。给出了范围是[1，16]的1600多个数据，这些数据都是随机无规律出现，运用遗传算法来进行数据预测。-Predicting genetic algorithm of data. Given the range of [1, more than 1600 16] of data, these data are random and without rules, the genetic algorithm is applied to predict.
neural-network-model
- 这是我用遗传算法对神经网络模型进行的优化，可以实现对某些数据的预测-This is my genetic algorithm with optimization neural network model can be achieved on some of the data to predict
pso
- 通过对现有数据进行迭代，用粒子群遗传算法进行预测(By iterating over the existing data, the particle swarm genetic algorithm is used to predict the data)
9927409GA-RBF
- 能进行rbf遗传预测，实践表明，这个算法非常好用，是个好东西(rbf forcast rbf improve)
Graynet
- 该代码为基于灰色神经网络的预测算法，采用遗传算法优化参数来进行预测，数据记得归一化！(The code is based on the gray neural network prediction algorithm, the use of genetic algorithm to optimize the parameters to predict, the data recorded normalized!)
chapter4
- 用遗传算法优化BP神经网络，并进行结果预测的操作(Optimization of BP by genetic algorithm)
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)
GAbp
- 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)
GABP
- GABP，遗传算法优化神经网络（BP)进行预测 ，优化前后对比，可套用在其它模型。(GABP, genetic algorithm optimization neural network (BP) for prediction, optimization before and after comparison, can be applied to other models.)
ga_aco_opt_on_anfis_svm-master
- 利用遗传算法、蚁群算法、PSO等对SVM模型进行优化，实现高效分类和回归预测(The SVM model is optimized by genetic algorithm, ant colony algorithm and PSO to achieve efficient classification and regression prediction.)
代码实现
- 采用主成分分析法判断了北京2000-2010年的经济活力。采用遗传算法优化的神经元网络模型评估10个城市的经济活力，马尔可夫灰度预测预测未来5年的发展状况。(The economic vitality of Beijing from 2000 to 2010 was judged by principal component analysis. The neural network model optimized by genetic algorithm is used to evaluate
061751110825864
- 用遗传算法来实现含有各种能源形式 的der单元的能量调度，实现经济化。含光电。风电等多种单元。 该算法中首先根据各种DER单元的模型列出了各个单元的经济成本公式，包含诸如运行成本、维护成本以及环境等各种费用。然后根据一天的负荷预测图，在不同的控制策略下进行经济调度，计算出各个单元 最佳出力，即输出功率。 目标函数就是成本最低，限制条件包括功率平衡，以及各个单元的输出限制等 "(The genetic algorithm is used to realize the energy dis