Adaptive Block Size Optimization in Block-chain Networks Using Artificial Intelligence Techniques
Keywords:
Block Size Optimization, Reinforcement Learning, Block Chain networksAbstract
This paper explored the use of reinforcement learning (RL) to optimise block size in blockchainnetworks in order to solve scalability and performance issues related to increasing transaction volumes and data needs. Although the decentralised and transparent nature of blockchaintechnology increases security and trust, problems
References
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