Fuzzy neural networks and systems represent a synergistic integration of fuzzy logic and artificial neural networks, aiming to encapsulate human-like reasoning within powerful learning frameworks. By ...

Understanding how a tumor evolves against the attack of the immune system is one of the greatest challenges in modern ...

In a previous article, we explored the Strong Artificial Intelligence Hypothesis, first presenting a low-level description based on the notion of a neural network (bottom-up framework). In this work, ...

Advancements in neural network and fuzzy modelling approaches are transforming soil and crop management, offering highly adaptable computational frameworks to address the intricate challenges of ...

Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates. Networks programmed directly into computer chip hardware can ...