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1.发明申请公开(公告)号：US20130013538A1
公开(公告)日：2013-01-10
申请号：US13617558
申请日：2012-09-14
申请人： Narges BANI ASADI , Guillermo A. CECCHI , Dimitri KANEVSKY , Bhuvana RAMABHADRAN , Irina RISH , Katya SCHEINBERG
发明人： Narges BANI ASADI , Guillermo A. CECCHI , Dimitri KANEVSKY , Bhuvana RAMABHADRAN , Irina RISH , Katya SCHEINBERG
CPC分类号： G06N99/005 , G06N7/005
摘要： A method, information processing system, and computer readable article of manufacture model data. A first dataset is received that includes a first set of physical world data. At least one data model associated with the first dataset is generated based on the receiving. A second dataset is received that includes a second set of physical world data. The second dataset is compared to the at least one data model. A probability that the second dataset is modeled by the at least one data model is determined. A determination is made that the probability is above a given threshold. A decision associated with the second dataset based on the at least one data model is generated in response to the probability being above the given threshold. The probability and the decision are stored in memory. The probability and the decision are provided to user via a user interface.
摘要翻译： 一种方法，信息处理系统和计算机可读物品的制造模型数据。 接收包括第一组物理世界数据的第一数据集。 基于接收生成与第一数据集相关联的至少一个数据模型。 接收包括第二组物理世界数据的第二数据集。 将第二数据集与至少一个数据模型进行比较。 确定第二数据集由至少一个数据模型建模的概率。 确定概率高于给定阈值。 响应于高于给定阈值的概率，生成基于至少一个数据模型与第二数据集相关联的决定。 概率和决定存储在内存中。 通过用户界面向用户提供概率和决定。
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公开(公告)号：US07117455B2
公开(公告)日：2006-10-03
申请号：US10626762
申请日：2003-07-24
IPC分类号： G06F17/50
CPC分类号： G06F17/5063 , G06F17/505
摘要： The present invention is a system and method for optimizing electrical circuits by means of derivative-free optimization. Tunable parameters such as component values, transistor sizes or model parameters are automatically adjusted to obtain an optimal circuit. Any method of measuring the performance of the circuit, including computer simulation, can be incorporated into the optimization technique, with no derivative requirements. An arbitrary continuous optimization problem can be posed, including an objective function, equality and inequality constraints, and simple bounds on the tunable parameters. The optimization technique is efficient and guarantees that it will find a locally optimal solution from any starting point. Further, the procedure includes a method of automatically recovering from electrical failure to enable automatic and productive circuit optimization. A set of measurement widgets is provided to automatically introduce the checking required to recover from electrical failure. The automated circuit optimization leads to higher quality circuits, increases designer productivity, results in a better understanding of the tradeoffs inherent in the circuit and lifts the thinking of the circuit designer to a higher level.
摘要翻译： 本发明是通过无衍生优化优化电路的系统和方法。 可调参数（如元件值，晶体管尺寸或型号参数）会自动调整以获得最佳电路。 任何测量电路性能的方法，包括计算机仿真，都可以纳入优化技术，无需衍生要求。 可以提出任意的连续优化问题，包括目标函数，等式和不等式约束以及可调参数的简单界限。 优化技术是有效的，并保证从任何起点找到局部最优解。 此外，该过程包括从电故障自动恢复以实现自动和生产性电路优化的方法。 提供一组测量小部件，以自动引入从电气故障中恢复所需的检查。 自动化电路优化导致更高质量的电路，提高设计人员的生产力，从而更好地了解电路固有的折中，并将电路设计师的思维提升到更高的水平。
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公开(公告)号：US20050022141A1
公开(公告)日：2005-01-27
申请号：US10626762
申请日：2003-07-24
IPC分类号： G06F17/50
CPC分类号： G06F17/5063 , G06F17/505
摘要： The present invention is a system and method for optimizing electrical circuits by means of derivative-free optimization. Tunable parameters such as component values, transistor sizes or model parameters are automatically adjusted to obtain an optimal circuit. Any method of measuring the performance of the circuit, including computer simulation, can be incorporated into the optimization technique, with no derivative requirements. An arbitrary continuous optimization problem can be posed, including an objective function, equality and inequality constraints, and simple bounds on the tunable parameters. The optimization technique is efficient and guarantees that it will find a locally optimal solution from any starting point. Further, the procedure includes a method of automatically recovering from electrical failure to enable automatic and productive circuit optimization. A set of measurement widgets is provided to automatically introduce the checking required to recover from electrical failure. The automated circuit optimization leads to higher quality circuits, increases designer productivity, results in a better understanding of the tradeoffs inherent in the circuit and lifts the thinking of the circuit designer to a higher level.
摘要翻译： 本发明是通过无衍生优化优化电路的系统和方法。 可调参数（如元件值，晶体管尺寸或型号参数）会自动调整以获得最佳电路。 任何测量电路性能的方法，包括计算机仿真，都可以纳入优化技术，无需衍生要求。 可以提出任意的连续优化问题，包括目标函数，等式和不等式约束以及可调参数的简单界限。 优化技术是有效的，并保证从任何起点找到局部最优解。 此外，该过程包括从电故障自动恢复以实现自动和生产性电路优化的方法。 提供了一组测量小部件，以自动引入从电气故障中恢复所需的检查。 自动化电路优化导致更高质量的电路，提高设计人员的生产力，从而更好地了解电路固有的折中，并将电路设计师的思维提升到更高的水平。
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4.发明申请公开(公告)号：US20110054853A1
公开(公告)日：2011-03-03
申请号：US12551297
申请日：2009-08-31
申请人： Narges Bani Asadi , Guillermo A. Cecchi , Dimitri Kanevsky , Bhuvana Ramabhadran , Irina Rish , Katya Scheinberg
发明人： Narges Bani Asadi , Guillermo A. Cecchi , Dimitri Kanevsky , Bhuvana Ramabhadran , Irina Rish , Katya Scheinberg
IPC分类号： G06F17/10
CPC分类号： G06N99/005 , G06N7/005
摘要： A method, information processing system, and computer readable article of manufacture model data. A first dataset is received that includes a first set of physical world data. At least one data model associated with the first dataset is generated based on the receiving. A second dataset is received that includes a second set of physical world data. The second dataset is compared to the at least one data model. A probability that the second dataset is modeled by the at least one data model is determined. A determination is made that the probability is above a given threshold. A decision associated with the second dataset based on the at least one data model is generated in response to the probability being above the given threshold. The probability and the decision are stored in memory. The probability and the decision are provided to user via a user interface.
摘要翻译： 一种方法，信息处理系统和计算机可读物品的制造模型数据。 接收包括第一组物理世界数据的第一数据集。 基于接收生成与第一数据集相关联的至少一个数据模型。 接收包括第二组物理世界数据的第二数据集。 将第二数据集与至少一个数据模型进行比较。 确定第二数据集由至少一个数据模型建模的概率。 确定概率高于给定阈值。 响应于高于给定阈值的概率，生成基于至少一个数据模型与第二数据集相关联的决定。 概率和决定存储在内存中。 通过用户界面向用户提供概率和决定。
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5.发明授权公开(公告)号：US08775345B2
公开(公告)日：2014-07-08
申请号：US13617558
申请日：2012-09-14
申请人： Narges Bani Asadi , Guillermo A. Cecchi , Dimitri Kanevsky , Bhuvana Ramabhadran , Irina Rish , Katya Scheinberg
发明人： Narges Bani Asadi , Guillermo A. Cecchi , Dimitri Kanevsky , Bhuvana Ramabhadran , Irina Rish , Katya Scheinberg
CPC分类号： G06N99/005 , G06N7/005
摘要： A method, information processing system, and computer readable article of manufacture model data. A first dataset is received that includes a first set of physical world data. At least one data model associated with the first dataset is generated based on the receiving. A second dataset is received that includes a second set of physical world data. The second dataset is compared to the at least one data model. A probability that the second dataset is modeled by the at least one data model is determined. A determination is made that the probability is above a given threshold. A decision associated with the second dataset based on the at least one data model is generated in response to the probability being above the given threshold. The probability and the decision are stored in memory. The probability and the decision are provided to user via a user interface.
摘要翻译： 一种方法，信息处理系统和计算机可读物品的制造模型数据。 接收包括第一组物理世界数据的第一数据集。 基于接收生成与第一数据集相关联的至少一个数据模型。 接收包括第二组物理世界数据的第二数据集。 将第二数据集与至少一个数据模型进行比较。 确定第二数据集由至少一个数据模型建模的概率。 确定概率高于给定阈值。 响应于高于给定阈值的概率，生成基于至少一个数据模型与第二数据集相关联的决定。 概率和决定存储在内存中。 通过用户界面向用户提供概率和决定。
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6.发明授权公开(公告)号：US08326787B2
公开(公告)日：2012-12-04
申请号：US12551297
申请日：2009-08-31
申请人： Narges Bani Asadi , Guillermo A. Cecchi , Dimitri Kanevsky , Bhuvana Ramabhadran , Irina Rish , Katya Scheinberg
发明人： Narges Bani Asadi , Guillermo A. Cecchi , Dimitri Kanevsky , Bhuvana Ramabhadran , Irina Rish , Katya Scheinberg
CPC分类号： G06N99/005 , G06N7/005
摘要： A method, information processing system, and computer readable article of manufacture model data. A first dataset is received that includes a first set of physical world data. At least one data model associated with the first dataset is generated based on the receiving. A second dataset is received that includes a second set of physical world data. The second dataset is compared to the at least one data model. A probability that the second dataset is modeled by the at least one data model is determined. A determination is made that the probability is above a given threshold. A decision associated with the second dataset based on the at least one data model is generated in response to the probability being above the given threshold. The probability and the decision are stored in memory. The probability and the decision are provided to user via a user interface.
摘要翻译： 一种方法，信息处理系统和计算机可读物品的制造模型数据。 接收包括第一组物理世界数据的第一数据集。 基于接收生成与第一数据集相关联的至少一个数据模型。 接收包括第二组物理世界数据的第二数据集。 将第二数据集与至少一个数据模型进行比较。 确定第二数据集由至少一个数据模型建模的概率。 确定概率高于给定阈值。 响应于高于给定阈值的概率，生成基于至少一个数据模型与第二数据集相关联的决定。 概率和决定存储在内存中。 通过用户界面向用户提供概率和决定。
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