Yonezcy / fireworks4backpropLinks
Hybrid modeling in neural network and nonlinear regression. Fireworks algorithm is used to optimize the neural network to make a nice initialization value of weight and bias.
☆26Updated 7 years ago
Alternatives and similar repositories for fireworks4backprop
Users that are interested in fireworks4backprop are comparing it to the libraries listed below
Sorting:
- 一种有效的电力负荷预测方法☆64Updated 6 years ago
- PSO algorithm for multi-parameters optimizaiton☆66Updated 7 years ago
- XGB、LSTM、KNNR、SVR预测☆13Updated last year
- GA,PSO,LSTM...☆26Updated 7 years ago
- 基于LSTM的电力负荷预测☆168Updated 7 years ago
- Using Particle Swarm Optimization (PSO) to Optimize a CNN (Convulsional Neural Network) - using an simple dataset (not using an image dat…☆42Updated 3 years ago
- ☆15Updated 5 years ago
- ARIMA, DBN,FFNN,GBRT,LSTM,RFR,SEQ2SEQ,SVR,XGBOOST☆23Updated 6 years ago
- 使用多种算法(线性回归、随机森林、支持向量机、BP神经网络、GRU、LSTM)进行电力系统负荷预测/电力预测。通过一个简单的例子。A variety of algorithms (linear regression, random forest, support vecto…☆180Updated 5 years ago
- PSO-Based-SVR to forecast potential delay time of bus arrival. Applied on City of Edmonton real data.☆42Updated 9 years ago
- a back propagation neural network with genetic algorithm☆83Updated 8 years ago
- use PSO to train the sigle layer NN structure☆24Updated 3 years ago
- Sanitized Grey Wolf Optimizer(SGWO)-Support Vector Regressor (SVR)☆79Updated 3 years ago
- A traffic flow prediction model based on Scikit and Keras. The model contains a DBN and a NN.☆16Updated 6 years ago
- 使用支持向量机、弹性网络、随机森林、LSTM、SARIMA等多种算法进行时间序列的回归预测,除此以外还采取了多种组合方法对以上算法输出的结果进行组合预测。Support vector machine, elastic network, random forest, LSTM…☆46Updated 5 years ago
- the extension of https://github.com/philipperemy/keras-attention-mechanism , create a new scipt to add attetion to input dimensions rath…☆78Updated last year
- ☆18Updated 6 years ago
- 粒子群算法优化支持向量机☆143Updated 3 years ago
- It is a project of SVM optimization algorithm which use the Grey Wolf Optimizer☆85Updated 6 years ago
- ☆31Updated 6 years ago
- ☆65Updated 4 years ago
- 麻雀算法优化支持向量机 python实现☆15Updated 3 years ago
- time series forecasting using keras, inlcuding LSTM,RNN,MLP,GRU,SVR and multi-lag training and forecasting method, ICONIP2017 paper.☆119Updated 6 years ago
- 基于遗传算法的BP神经网络☆16Updated 4 years ago
- LSTM Model for Electric Load Forecasting☆47Updated 7 years ago
- This toolbox offers 13 wrapper feature selection methods (PSO, GA, GWO, HHO, BA, WOA, and etc.) with examples. It is simple and easy to i…☆287Updated 2 years ago
- 本人论文实验的一些python与R的代码;《A deep learning based model for short-term power load and probability density forecasting》;《A clustering-based fram…☆18Updated 8 years ago
- graduation design DBN + SVM☆36Updated 7 years ago
- short-term load forecasting with deep residual networks☆105Updated 4 years ago
- A Python Implementation of Kernel Extreme Learning Machine for Ordinal Regression☆25Updated 5 years ago