Abstract & Overview
The multilayer perceptron is one of the most used kinds of artificial neural networks.It has an organization in layers and in most cases, these layers are fully connected.The training of multilayer perceptron is a process of finding optimal values for the weights between the layers.When optimal values are desired, LibreOffice Calc has a module called Solver.For non-linear optimization, the Solver module uses a hybrid algorithm which is a combination of differential evolution and particle swarm optimization.For using LibreOffice Calc in multilayer perceptron training the model of the artificial neural network should be deployed into the working sheet.This paper proposes fast prototyping by multilayer perceptron model deployment in such a way in which differential evolution and particle swarm optimization optimizers to be used in the training process.