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LinearProgram Solver (Solvexo) is an optimization package intended for solving linear programming problems. The main features of the Solvexo are:
· Solvexo solver is based on the efficient implementation of the simplex method (one or two phases);
· Solvexo provides not only an answer, but a detailed solution process as a sequence of simplex matrices, so you can use it in studying (teaching) linear programming
This project includes the implementation of a neural network MLP, RBF, SOM and Hopfield networks in several popular programming languages. The project also includes examples of the use of neural networks as function approximation and time series prediction. Includes a special program makes it easy to test neural network based on training data and the optimization of the network.