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.
☆26Aug 26, 2018Updated 8 years ago
Alternatives and similar repositories for fireworks4backprop
Users that are interested in fireworks4backprop are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- The three-flood neural network is implemented in three ways(Naive/Tensorflow/TFlearn).☆13May 1, 2018Updated 8 years ago
- I have implemented Recurrent Neural Network (RNN model) to predict the future stock prices and compare it with linear regression.☆31Apr 23, 2018Updated 8 years ago
- Implementation of a hybrid PSO-GA algorithm☆30Nov 3, 2014Updated 11 years ago
- ☆14Mar 4, 2022Updated 4 years ago
- 神经网络结构可变的BP回归☆12Mar 9, 2018Updated 8 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- This project implements a bagging based spatio-temporal regression model for wind power forecasting.☆13Apr 2, 2018Updated 8 years ago
- An aided linear integer programming (ALIP) non-intrusive load monitoring (NILM) algorithm.☆10Aug 31, 2017Updated 9 years ago
- 1) How to Prepare Time Series Data for CNNs and LSTMs?? 2) How to Develop CNNs for Time Series Forecasting?? 3) How to Develop LSTMs for …☆12May 12, 2024Updated 2 years ago
- State of the art time series forecasting method that has the FFORMA ensemble learn from the ESRNN hybrid model and others.☆13Sep 7, 2022Updated 4 years ago
- A Probabilistic Load Forecasting Project. Mirror of https://git.rwth-aachen.de/acs/public/automation/plf/proloaf☆16Apr 2, 2026Updated 6 months ago
- Hybrid model to predict long-term deflection of reinforced concrete members☆12Jul 7, 2020Updated 6 years ago
- The repository consists of an energy forecasting model using XGboost. The dataset consists of hourly energy consumption rates in kWh for …☆10May 1, 2023Updated 3 years ago
- Short Term Load Forecasting with ES-dRNN☆14Dec 8, 2022Updated 3 years ago
- A Go generics-based library for classic ML algorithms: KNN, linear/logistic/polynomial regression, k-means clustering, Gaussian Naive Bay…☆11Aug 28, 2026Updated 2 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Forecasting the power generated by wind turbines using Deep Neural Networks and Clustering Approach☆22Feb 23, 2022Updated 4 years ago
- Neural nilm python 3.3☆13Mar 1, 2021Updated 5 years ago
- Predicting air pollution (machine learning project)☆21Feb 19, 2017Updated 9 years ago
- Work done at the H2O Open Tour NYC 2016 Hackathon, and later refinements☆22Oct 22, 2018Updated 8 years ago
- AI for predicting wind power from historical wind data and wind forecasts☆19Mar 10, 2017Updated 9 years ago
- A library for machine learning that builds predictions using a linear regression.☆13Sep 18, 2025Updated last year
- Data and regressions on Premier League teams from 2000-01 through to 2016-17☆11Jul 31, 2017Updated 9 years ago
- Repo for am207 final project☆13Jul 28, 2026Updated 3 months ago
- ☆15Dec 18, 2020Updated 5 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆16Oct 6, 2018Updated 8 years ago
- Labs for CAI☆16Dec 31, 2020Updated 5 years ago
- A Perl binding for LIBLINEAR, a library for classification/regression using linear SVM and logistic regression.☆11Jun 14, 2026Updated 4 months ago
- This is a repository that contains Python implementations of Machine Learning (ML) models from scratch.☆10Aug 9, 2020Updated 6 years ago
- This is a standalone version of MO-ASMO, a surrogate based multi-objective optimization algorithm.☆23Oct 6, 2018Updated 8 years ago
- EO-CNN: An Enhanced CNN Model Trained by Equilibrium Optimization for Traffic Transportation Prediction☆14Jun 6, 2020Updated 6 years ago
- A traffic flow prediction model based on Scikit and Keras. The model contains a DBN and a NN.☆16Feb 26, 2019Updated 7 years ago
- Hybrid ES-RNN models for time series forecasting☆19May 14, 2021Updated 5 years ago
- ☆12Feb 8, 2019Updated 7 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆38Mar 25, 2021Updated 5 years ago
- Machine learning (linear regression & kernel-ridge regression) examples on the Boston housing dataset☆11Dec 13, 2018Updated 7 years ago
- TCN(Temporal Convolutional Network) model for load forecasting with serial data.☆13Jul 24, 2020Updated 6 years ago
- This is my thesis work on renewable energy detection which compares state of art models using Machine Learning and Deep Learning adapted …☆18Aug 19, 2021Updated 5 years ago
- A PureScript, browser-based implementation of simple linear regression.☆19Dec 6, 2022Updated 3 years ago
- UC Berkeley PSYCH 167AC (Stigma and Prejudice) Fall 2017☆10Jul 1, 2025Updated last year
- A minimal regression library for Julia☆12Apr 24, 2018Updated 8 years ago