New Findings from Shenzhen University in the Area of Machine Learning Described (Competitive Decomposition-based Multiobjective Architecture Search for the Dendritic Neural Model)

摘要

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news originating from Shenzhen, People’s Republic of China, by NewsRx correspondents, research stated, “The dendritic neural model (DNM) is computationally faster than other machine-learning techniques, because its architecture can be implemented by using logic circuits and its calculations can be performed entirely in binary form. To further improve the computational speed, a straightforward approach is to generate a more concise architecture for the DNM.”