Over the past few decades, robots have gradually started making their way into various real-world settings, including some ...

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Abstract: This paper begins with an overview of several competitive learning algorithms in artificial neural networks ... Finally, we report a reconfigurable parallel neurocomputer architecture we ...

The final, formatted version of the article will be published soon. Metaheuristics optimization algorithms used in this research include PSO, ACO, GA, and SA and represent effective approaches toward ...

Reinforcement Learning (RL) provides a powerful framework for decision-making in complex environments. However, implementing RL in hardware-efficient and bio-inspired ways remains a challenge. This ...

A combined sewer community can leverage the following from machine learning: Algorithm speed can provide a result in ... Figure 3: Conceptual architecture for deployment of a ML tool The conceptual ...