ericdhitchens / Predicting_Concrete_Compressive_StrengthLinks
How would you predict the compressive strength of concrete as a function of its constituent materials and curing time? In this portfolio project, I optimize a model for determining concrete compressive strength using a deep neural network in Tensorflow 2.0 and compare its performance to linear models.
☆12Updated 5 years ago
Alternatives and similar repositories for Predicting_Concrete_Compressive_Strength
Users that are interested in Predicting_Concrete_Compressive_Strength are comparing it to the libraries listed below
Sorting:
- This is a compact code for reliability analysis under uncertainty using a Polynomial Regression Machine Learning approach. The code imple…☆15Updated 6 years ago
- This project involves using Simulink to create a comprehensive battery model that incorporates both charging and discharging resistances.…☆10Updated 2 years ago
- Fed2Tier offers a two-tier federated learning approach, optimizing for eco-friendliness and efficiency. It improves model generalizabilit…☆20Updated 2 years ago
- mahdi-usask / Wind-Speed-Forecasting-for-wind-power-generation-plant.-Neural-Network-ML-based-prediction-algo.-For largescale wind power penetration Wind speed prediction is a basic requirement of wind energy generation. There are many artificial n…☆49Updated 4 years ago
- aliasgharheidaricom / RUN-Beyond-the-Metaphor-An-Efficient-Optimization-Algorithm-Based-on-Runge-Kutta-MethodThe optimization field suffers from the metaphor-based “pseudo-novel” or “fancy” optimizers. Most of these cliché methods mimic animals' …☆12Updated last year
- for testing metaheuristic algorithm which is specific for continuous search spaces like Particle Swarm optimizations, Differential evolut…☆19Updated last year
- Membrane-based dehumidification is currently being considered as a promising solution for the building application due to its low cost an…☆10Updated 5 years ago
- MOMPA: a high performance multi-objective optimizer based on marine predator algorithm☆22Updated last year
- Intrusion Detection is a technique to identify the abnormal behavior of system due to attack. The unusual behavior of the environment is …☆28Updated 8 years ago
- The Packing problem has gained much relevance with the recent upheaval of the delivery and retail industry. Companies all over the world …☆11Updated 4 years ago
- ☆14Updated 6 years ago
- Different modeling techniques like multiple linear regression, decision tree, and random forest, etc. will be used for predicting the co…☆23Updated 5 years ago
- Explore the world of electric vehicle battery optimization, where I simulate and fine-tune charging strategies based on temperature and S…☆11Updated 2 years ago
- Undergraduate Research Project☆38Updated 7 years ago
- Implementation of Non-dominated Sorting Genetic Algorithm (NSGA-II), a Multi-Objective Optimization Algorithm in Python☆48Updated 7 years ago
- Predicting solar energy using machine learning (LSTM, PCA, boosting). This is our CS 229 project from autumn 2017. Report and poster are …☆67Updated 4 years ago
- In this post, I have implement a water quality prediction using machine learning techniques. In this technique, our model predicts that t…☆26Updated 4 years ago
- Training Neural Network with Particle Swarm Optimization☆14Updated 7 years ago
- The High Performance Collision Cross Section (HPCCS) is a new software for fast and accurate calculation of CCS for molecular ions. Based…☆17Updated 5 years ago
- Repo for Li, Kafka, Gao et al 2019 "Clustering discretization methods for generation of material performance databases in machine learni…☆14Updated 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 …☆17Updated 4 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
- Machine learning can enhance a BMS by improving SOC and SOH estimation, detecting faults, and optimizing control policies. By leveraging …☆13Updated last year
- Sanitized Grey Wolf Optimizer(SGWO)-Support Vector Regressor (SVR)☆79Updated 3 years ago
- Prediction of wind and solar power generation using machine learning techniques☆10Updated 5 years ago
- 基于粒子群算法优化的BPNN和ElM对海浪高度的预测☆44Updated 3 years ago
- HARP_Opt: Horizontal Axis Rotor Performance Optimization☆22Updated 4 years ago
- Energy demand has increased substantially recently, the need of energy efficient equipment in process plants and industries has become a …☆15Updated 4 years ago
- ☆29Updated 8 months ago
- Offshore wind farm wake modelling using deep feed forward neural networks for active yaw control and layout optimisation☆43Updated 2 years ago