首页|Researchers at Shenzhen University Have Reported New Data on Machine Learning (Competitive Decomposition-based Multiobjective Architecture Search for the Dendritic Neural Model)
Researchers at Shenzhen University Have Reported New Data on Machine Learning (Competitive Decomposition-based Multiobjective Architecture Search for the Dendritic Neural Model)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting out ofShenzhen, People’s Republic of China, by NewsRx editors, research stated, “The dendritic neural model(DNM) is computationally faster than other machine-learning techniques, because its architecture can beimplemented by using logic circuits and its calculations can be performed entirely in binary form. To furtherimprove the computational speed, a straightforward approach is to generate a more concise architecturefor the DNM.”
ShenzhenPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningShenzhen University
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