PetraVidnerova / rbf_keras

Related projects: ⓘ

• PetraVidnerova / rbf_for_tf2
  RBF Layer for tf.keras using Tensorflow 2.0 (work in progress!)
  ☆47Updated 4 years ago
• eugeniashurko / rbfnnpy
  Radial Basis Function Neural Network implementation for Python
  ☆81Updated 4 years ago
• fishjh2 / prediction-interval-NN
  Confidence and prediction intervals for feedforward NNs and RNNs
  ☆27Updated 6 years ago
• zealberth / lssvr
  Least Squares Support Vector Regression
  ☆57Updated 3 years ago
• acba / elm
  Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.
  ☆91Updated 3 years ago
• federhub / pyGRNN
  Python implementation of General Regression Neural Network (Nadaraya-Watson Estimator). A Feature Selection module based on GRNN is also …
  ☆72Updated 3 years ago
• bhaskatripathi / GWOSVR
  Sanitized Grey Wolf Optimizer(SGWO)-Support Vector Regressor (SVR)
  ☆66Updated 2 years ago
• RamanSinghca / PSO-Based-SVR
  PSO-Based-SVR to forecast potential delay time of bus arrival. Applied on City of Edmonton real data.
  ☆41Updated 7 years ago
• otenim / TensorFlow-OS-ELM
  A tensorflow implementation of OS-ELM (Online Sequential Extreme Learning Machine)
  ☆54Updated 5 years ago
• jlsuarezdiaz / KELMOR
  A Python Implementation of Kernel Extreme Learning Machine for Ordinal Regression
  ☆25Updated 3 years ago
• ZixiaoShen / Correlation-based-Feature-Selection
  Implementation and test of CFS
  ☆26Updated 5 years ago
• masaponto / Python-ELM
  Extreme learning machine implemented by python3 with scikit-learn interface
  ☆46Updated 5 years ago
• chickenbestlover / Online-Recurrent-Extreme-Learning-Machine
  Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python
  ☆150Updated 5 years ago
• stxupengyu / regression-prediction-algorithms
  ☆11Updated this week
• shih8674 / PSO-train-BP-NN
  use PSO to train the sigle layer NN structure
  ☆23Updated 2 years ago
• zhangxu0307 / time-series-forecasting-keras
  time series forecasting using keras, inlcuding LSTM,RNN,MLP,GRU,SVR and multi-lag training and forecasting method, ICONIP2017 paper.
  ☆115Updated 5 years ago
• 2015xli / DBN
  Simple code tutorial for deep belief network (DBN)
  ☆44Updated 3 years ago
• shiluqiang / WLSSVM_python
  Weighted LSSVM for regression
  ☆38Updated 5 years ago
• hkaneko1985 / adaptive_soft_sensors
  Adaptive Soft Sensors
  ☆17Updated 5 years ago
• vrcarva / ewtpy
  Empirical wavelet transform (EWT) in Python
  ☆79Updated 3 years ago
• NshanPotikyan / TransferLearningTimeSeries
  Transfer Learning for Time Series Prediction Task
  ☆98Updated 5 years ago
• anxinguo / Machine-Learning
  BPNN, SVC, SVR, CART, GSOM, LOF, K_MEANS, GRNN, LR, MLR
  ☆18Updated 7 years ago
• wlsgusjjn / PSO-LS-SVM
  Particle Swarm Optimization Least-squares support-vector machine without any machine learning libraries
  ☆9Updated 4 years ago
• shiluqiang / PSO_python
  PSO algorithm for multi-parameters optimizaiton
  ☆63Updated 5 years ago
• kaishxu / qrnn
  QRNN (Quantile Regression Neural Network) Keras version
  ☆23Updated 3 years ago
• gdroguski / GaussianProcesses
  Python3 project applying Gaussian process regression for forecasting stock trends
  ☆145Updated 6 years ago
• masatakashiwagi / analysis-tslearn
  Clustering using tslearn for Time Series Data.
  ☆49Updated 2 years ago
• aysunrhn / Adaptive-Soft-Sensor-Design
  Github repo for the research paper titled "Integrating Adaptive Moving Window and Just-in-Time Learning Paradigms for Soft-Sensor Design"
  ☆19Updated 4 years ago
• fish-kong / -rnn-each-types-of-rnn-for-regression
  利用各种循环网络进行回归拟合，包括rnn，lstm，nlstm，bilstm
  ☆22Updated 4 years ago
• jeanjerome / semisupervised_timeseries_infogan
  A tensorflow implementation of informative generative adversarial network (InfoGAN ) to one dimensional ( 1D ) time series data with a su…
  ☆26Updated 5 years ago