GitHub / edftechnology 7 projects
EDF Technology
Projects
rbf_python
Computational Application of Radial Basis Function Neural Networks (RBFNN) which employ radial basis functions in hidden layers, efficiently modeling complex nonlinear relationships in data. Their unique architecture enables accurate function approximation, classification, and regression, making them versatile and effective across multiple domains.
big_prop_data_vba
The BIGPropData program predicts the thrust of turbines based on input parameters such as air temperature, pressure, and turbine specifications. It utilizes complex algorithms to calculate thrust accurately, aiding in the design and optimization of turbine systems for various applications.
k_means_thesis
Computation application for the k-means algorithm is an unsupervised clustering technique that organizes data into clusters based on similarity. It iteratively assigns data points to centroids and recalculates centroids based on the average of assigned points until the variance between points and centroids is minimized.
svm_python
The Support Vector Machine (SVM) is a powerful supervised learning algorithm used for classification and regression tasks. It finds the optimal hyperplane that separates data into classes with the maximum margin, making it effective for high-dimensional data and nonlinear boundaries.
rbf_bd_vba
Computational Application of Radial Basis Function Neural Networks (RBFNN) I employ radial basis functions in hidden layers, efficiently modeling complex nonlinear relationships in data. Their unique architecture enables accurate function approximation, classification, and regression, making them versatile and effective across multiple domains.
rbf_vba
Computational Application of Radial Basis Function Neural Networks (RBFNN) I employ radial basis functions in hidden layers, efficiently modeling complex nonlinear relationships in data. Their unique architecture enables accurate function approximation, classification, and regression, making them versatile and effective across multiple domains.
thermo_python
The Thermo program instantly converts between Celsius, Fahrenheit, and Kelvin. With a simple interface, it facilitates precise temperature conversions across different units, useful for both scientific and everyday purposes.