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Recent Findings in Artificial Neural Networks Described by Researchers from Autonomous University Barcelona (Application of Artificial Neural Networks To the Identification of Weak Electrical Regions In Large Area Mim Structures)

机译:最近发现在人工神经网络中从自治所描述的研究人员巴塞罗那大学(应用程序的人工神经网络的识别弱电地区大面积Mim结构)

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By a News Reporter-Staff News Editor at Network Daily News - Research findings on Artificial Neural Networks are discussed in a new report. According to news reporting from Cerdanyola del Valles, Spain, by NewsRx journalists, research stated, “Large area metal-insulator-metal (MIM) structures are prone to exhibit weak electrical regions when they are subjected to severe stress conditions. Although the root cause of this problem is hard to identify, it has been attributed to nonuniform oxide thickness, variable dielectric permittivity, correlated defect generation, and fringe effects in capacitors.”
机译:由一个新闻记者在网络新闻编辑每日新闻——研究发现人工讨论了神经网络在一份新报告。据新闻报道Cerdanyola德尔水手,西班牙NewsRx记者、研究说:“大面积metal-insulator-metal (MIM)结构很容易表现出弱的电当他们受到严重的压力区域条件。问题是很难确定,氧化层厚度不均匀,变量介质介电常数相关的缺陷生成和边缘效应电容器。”

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