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.
☆11Updated 4 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:
- ☆14Updated 5 years ago
- Code for paper Extended Multiplicative Signal Augmentation: An alternative to pre-processing of infrared spectra☆14Updated 4 years ago
- Physics-guided Neural Networks (PGNN) : An Application In Lake Temperature Modelling☆109Updated 3 years ago
- Python scripts for physics-informed neural networks for corrosion-fatigue prognosis☆41Updated 2 years ago
- Concrete Compressive Strength Prediction using Machine Learning☆25Updated 5 years ago
- Different modeling techniques like multiple linear regression, decision tree, and random forest, etc. will be used for predicting the co…☆22Updated 4 years ago
- Deep Learning models applied to the analysis of VIS-NIR spectral data☆126Updated 3 months ago
- Physics Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modelling☆23Updated 5 years ago
- Sanitized Grey Wolf Optimizer(SGWO)-Support Vector Regressor (SVR)☆75Updated 3 years ago
- This repository contains code for predicting multiaxial fatigue life of metals using deep learning models (CNN, LSTM, and GRU) combined w…☆19Updated 11 months ago
- Incorporating Inductive Bias into Deep Learning: A Perspective from Automated Visual Inspection in Aircraft Maintenance☆56Updated 5 years ago
- IntelELM: A Python Framework for Intelligent Metaheuristic-based Extreme Learning Machine☆16Updated last month
- Deep Transfer Learning and Time-Frequency Characteristics-Based Identification Method for Structural Seismic Response☆31Updated 3 years ago
- Detection and Prediction of Air quality Index☆54Updated 4 years ago
- Python implementation of domain-invariant partial least squares regression (di-PLS)☆21Updated 2 months ago
- Unofficial implementation of paper “Particle Swarm Optimization for Hyper-Parameter Selection in Deep Neural Networks” using Tensorflow/K…☆30Updated 5 years ago
- Machine learning model for complex concentrated alloys/high entropy alloys using TensorFlow☆15Updated 4 years ago
- This repository provides a Python3 Library with implementations of the Least-Squares Support Vector Machine (LS-SVM) machine learning mo…☆41Updated 3 years ago
- Image analysis tool for solar modules, assisted by deep learning.☆47Updated 6 months ago
- a novel calibration model named SpectraTr, based on the transformer structure is proposed and used for the qualitative analysis of drug s…☆23Updated 2 years ago
- Codes and images used for blog post at https://medium.com/p/genetic-algorithm-to-optimize-machine-learning-hyperparameters-72bd6e2596fc?s…☆15Updated 4 years ago
- This is my thesis work on renewable energy detection which compares state of art models using Machine Learning and Deep Learning adapted …☆16Updated 3 years ago
- This is a code and data repository to conduct Bayesian Optimization with knowledge constraints for manufacturing process of perovskite so…☆17Updated 3 years ago
- A Multi-Output Regression Framework in Python☆31Updated 4 years ago
- Python implementation of Least Squares Support Vector Machine for classification on CPU (NumPy) and GPU (PyTorch).☆58Updated 2 weeks ago
- Using machine learning to predict the performance of supercapacitors.☆12Updated 5 years ago
- predict short & long term rainfall☆40Updated 6 years ago
- multi-objective optimization, single-objective optimization and reinforcement learning in the field of ensemble learning and time series …☆24Updated last year
- ☆11Updated 3 years ago
- Using Particle Swarm Optimization (PSO) to Optimize a CNN (Convulsional Neural Network) - using an simple dataset (not using an image dat…☆41Updated 2 years ago