• incremental learning
• machine learning
• neural networks
• support vector machine

Development of incremental learning solutions for predictive algorithms support using vector machine and Multy Layer Perceptrons neural networks. The goal is to find a way to update predictive models using new data without reusing previously used data. It also explores the possibility of teaching models in use classes of previously unrecognized objects. In the part related to neural networks we try to stem the problem of catastrophic forgetting. The results obtained are encouraging as far as the Support Vector Machine is concerned, while the approach used for neural networks has not brought hoped-for results.