Predicting edible and toxic mushrooms with multi-layer perceptron method in streaming data

Tóm tắt

In today's rapidly advancing technological landscape, a significant portion of current technological developments is centered around the field of Artificial Intelligence (AI). Machine Learning, a subfield of AI, applies statistical and mathematical methods to enhance computer performance. AI has made substantial contributions to solving a wide range of problems over the past decade. Particularly, given the current context where distinguishing between different types of mushrooms is not well understood, especially to prevent the consumption of poisonous mushrooms that can have severe health consequences. The chosen algorithm for this project is the MLP (Multi-layer Perceptron) classifier, which has seen significant development in recent years and has widespread applications in various AI domains. This is why it has been selected as the foundation for the system in this project. The research topic aims to utilize this algorithm to construct a system that rapidly predicts whether a mushroom is edible or poisonous, facilitating practical applications. The application of artificial intelligence in the development of a system related to cognitive differentiation holds the promise of reducing the use of toxic mushrooms in daily life.