公开(公告)号：US06178406B1

公开(公告)日：2001-01-23

申请号：US09118112

申请日：1998-07-17

申请人： William Estel Cheetham ,  Piero Patrone Bonissone

发明人： William Estel Cheetham ,  Piero Patrone Bonissone

IPC分类号： G06F1518

CPC分类号： G06Q30/06 ,  G06Q10/06375 ,  G06Q30/0205 ,  G06Q30/0206

摘要： A method for estimating the price of real property such as a single family residence. A set of real estate properties comparable to the subject property is retrieved. The comparable properties and the subject property are characterized by a plurality of common attributes each having a respective value. Each attribute value from the comparable properties are evaluated to the same attribute value of the subject property on a fuzzy preference scale indicating desirable and tolerable deviations from an ideal match with the subject property. A measurement of similarity between each comparable property and the subject property is then determined. Next, the price of the comparable properties are adjusted to the value of the subject property and the best properties are extracted for further consideration. The extracted comparable properties are then aggregated into an estimate price of the subject property.

摘要翻译： 估算单一家庭住宅等不动产价格的方法。 检索与主题属性相当的一套房地产物业。 可比较的性质和主题性质的特征在于具有各自具有相应值的多个共同属性。 可比较的属性的每个属性值被评估为模糊偏好量表上的主题属性的相同属性值，表示与主题属性的理想匹配的期望和可容忍的偏差。 然后确定每个可比性属性和受试者属性之间的相似性的度量。 接下来，将可比性质的价格调整为主题属性的值，并提取最佳性质以供进一步考虑。 然后将提取的可比性属性合并为主题属性的估计价格。

公开(公告)号：US08126795B2

公开(公告)日：2012-02-28

申请号：US10781898

申请日：2004-02-20

申请人： Srinivas Bollapragada ,  Piero Patrone Bonissone ,  Kete Charles Chalermkraivuth ,  Neil Holger White Eklund ,  Naresh Sundaram Iyer ,  Rajesh Venkat Subbu

发明人： Srinivas Bollapragada ,  Piero Patrone Bonissone ,  Kete Charles Chalermkraivuth ,  Neil Holger White Eklund ,  Naresh Sundaram Iyer ,  Rajesh Venkat Subbu

IPC分类号： G06Q40/00

CPC分类号： G06Q40/06

摘要： The systems and methods of the invention are directed to portfolio optimization and related techniques. For example, the invention provides a method for multi-objective portfolio optimization for use in investment decisions based on competing objectives and a plurality of constraints constituting a portfolio problem, the method comprising: generating an initial population of solutions of portfolio allocations, the generating the initial population of solutions of portfolio allocations including systematically generating the initial population of solutions to substantially cover the space defined by the competing objectives and the plurality of constraints; and generating an efficient frontier in the space based on the initial population, the efficient frontier for use in investment decisioning.

摘要翻译： 本发明的系统和方法针对组合优化和相关技术。 例如，本发明提供了一种用于基于竞争目标和构成组合问题的多个约束的投资决策中的多目标投资组合优化的方法，所述方法包括：生成投资组合分配的初始解决方案群体， 包括投资组合分配的最初解决方案，其中包括系统地产生解决方案的初始群体，以充分覆盖竞争目标和多个约束所界定的空间; 并根据初始人口，投资决策中使用的有效前沿，在空间中产生有效的前沿。

公开(公告)号：US07937334B2

公开(公告)日：2011-05-03

申请号：US11755924

申请日：2007-05-31

申请人： Piero Patrone Bonissone ,  Weizhong Yan ,  Naresh Sundaram Iyer ,  Kai Goebel ,  Anil Varma

发明人： Piero Patrone Bonissone ,  Weizhong Yan ,  Naresh Sundaram Iyer ,  Kai Goebel ,  Anil Varma

IPC分类号： G06F17/00

CPC分类号： G05B23/024 ,  G06K9/6284 ,  G06N99/005

摘要： Monitoring dynamic units that operate in complex, dynamic environments, is provided in order to classify and track unit behavior over time. When domain knowledge is available, feature-based models may be used to capture the essential state information of the units. When domain knowledge is not available, raw data is relied upon to perform this task. By analyzing logs of event messages (without having access to their data dictionary), embodiments allow the identification of anomalies (novelties). Specifically, a Normalized Compression Distance (such as one based on Kolmogorov Complexity) may be applied to logs of event messages. By analyzing the similarity and differences of the event message logs, units are identified that did not experience any abnormality (and locate regions of normal operations) and units that departed from such regions.

摘要翻译： 提供了监控在复杂，动态环境中运行的动态单元，以便对时间段内的单元行为进行分类和跟踪。 当领域知识可用时，可以使用基于特征的模型来捕获单位的基本状态信息。 当领域知识不可用时，依靠原始数据来执行此任务。 通过分析事件消息的日志（不访问其数据字典），实施例允许识别异常（新奇事物）。 具体来说，归一化压缩距离（例如基于Kolmogorov复杂度的距离）可以应用于事件消息的日志。 通过分析事件消息日志的相似性和差异，识别出没有经历任何异常（并定位正常操作的区域）的单位和离开这些区域的单位。

公开(公告)号：US07813945B2

公开(公告)日：2010-10-12

申请号：US10425733

申请日：2003-04-30

申请人： Piero Patrone Bonissone ,  Richard Paul Messmer ,  Rajesh Venkat Subbu ,  Weizhong Yan ,  Anindya Chakraborty

发明人： Piero Patrone Bonissone ,  Richard Paul Messmer ,  Rajesh Venkat Subbu ,  Weizhong Yan ,  Anindya Chakraborty

IPC分类号： G06Q40/00

CPC分类号： G06Q40/02 ,  G06Q40/08

摘要： A method and system for automating the decision-making process used in underwriting of insurance applications is described. While this approach is demonstrated for insurance underwriting, it is broadly applicable to diverse decision-making applications in business, commercial, and manufacturing processes. A structured methodology is used based on a multi-model parallel network of multivariate adaptive regression splines (“MARS”) models to identify the relevant set of variables and their parameters, and build a framework capable of providing automated decisions. The parameters of the MARS-based decision system are estimated from a database consisting of a set of applications with reference decisions against each. Cross-validation and development/hold-out combined with re-sampling techniques are used to build a robust set of models that minimize the error between the automated system's decision and the expert human underwriter. Furthermore, this model building methodology can be used periodically to update and maintain the family of models if required to assure currency.

摘要翻译： 描述了一种自动化用于承保保险应用程序的决策过程的方法和系统。 虽然这种方法在保险承保方面得到证明，但它广泛适用于商业，商业和制造过程中的各种决策应用。 基于多变量自适应回归样条（“MARS”）模型的多模式并行网络，使用一种结构化方法来识别相关的变量及其参数集，并构建能够提供自动化决策的框架。 基于MARS的决策系统的参数是由一组数据库估算出来的，该数据库由一组应用程序组成，具有相应的参考决定。 交叉验证和开发/保留与重新采样技术相结合，用于构建一套强大的模型，以最大限度地减少自动系统决策与专家人类承保人之间的错误。 此外，如果需要确保货币，则可以定期使用此模型构建方法来更新和维护模型系列。

公开(公告)号：US07667827B2

公开(公告)日：2010-02-23

申请号：US11307334

申请日：2006-02-01

申请人： Matthew Allen Nelson ,  Naresh Sundaram Iyer ,  John Erik Hershey ,  Charles Erklin Seeley ,  Piero Patrone Bonissone ,  Kai Frank Goebel

发明人： Matthew Allen Nelson ,  Naresh Sundaram Iyer ,  John Erik Hershey ,  Charles Erklin Seeley ,  Piero Patrone Bonissone ,  Kai Frank Goebel

IPC分类号： G01H17/00 ,  F02P17/00

CPC分类号： G01H9/00

摘要： A system and method for monitoring the vibrations of a machine that includes a reflective patch affixed to the machine and a vibration detection unit including an optics module. The optics module may be positioned remotely from the machine such that the optics module transmits an electromagnetic beam to the reflective patch and reflected from the reflective patch to the optics module. The optics module demodulates the electromagnetic beam to determine the vibration of the machine.

摘要翻译： 一种用于监测机器的振动的系统和方法，所述振动包括固定在机器上的反射贴片和包括光学模块的振动检测单元。 光学模块可以远离机器定位，使得光学模块将电磁光束传输到反射贴片并从反射贴片反射到光学模块。 光学模块解调电磁波束以确定机器的振动。

公开(公告)号：US20090299695A1

公开(公告)日：2009-12-03

申请号：US12129622

申请日：2008-05-29

申请人： Rajesh Venkat Subbu ,  John Erik Hershey ,  Xiao Hu ,  Robert James Mitchell, JR. ,  Avinash Vinayak Taware ,  Piero Patrone Bonissone

发明人： Rajesh Venkat Subbu ,  John Erik Hershey ,  Xiao Hu ,  Robert James Mitchell, JR. ,  Avinash Vinayak Taware ,  Piero Patrone Bonissone

IPC分类号： G06F15/00 ,  G06F17/18

CPC分类号： G06F11/30 ,  G05B23/024

摘要： A method for advanced condition monitoring of an asset system includes sensing actual values of an operating condition for an operating regime of the asset system using at least one sensor; estimating sensed values of the operating condition by using an auto-associative neural network; determining a residual vector between the estimated sensed values and the actual values; and performing a fault diagnostic on the residual vector. In another method, an operating space of the asset system is segmented into operating regimes; the auto-associative neural network determines estimates of actual measured values; a residual vector is determined from the auto-associative neural network; a fault diagnostic is performed on the residual vector; and a change of the operation of the asset system is determined by analysis of the residual vector. An alert is provided if necessary. A smart sensor system includes an on-board processing unit for performing the method of the invention.

公开(公告)号：US07542932B2

公开(公告)日：2009-06-02

申请号：US10781780

申请日：2004-02-20

申请人： Kete Charles Chalermkraivuth ,  Srinivas Bollapragada ,  Piero Patrone Bonissone ,  Michael Craig Clark ,  Neil Holger White Eklund ,  Naresh Sundaram Iyer ,  Rajesh Venkat Subbu

发明人： Kete Charles Chalermkraivuth ,  Srinivas Bollapragada ,  Piero Patrone Bonissone ,  Michael Craig Clark ,  Neil Holger White Eklund ,  Naresh Sundaram Iyer ,  Rajesh Venkat Subbu

IPC分类号： G06Q40/00

CPC分类号： G06Q40/00 ,  G06Q10/06375 ,  G06Q40/06

摘要： The systems and methods of the invention are directed to portfolio optimization and related techniques. For example, the invention provides a method for multi-objective portfolio optimization for use in investment decisions based on competing objectives and a plurality of constraints constituting a portfolio problem, the method comprising: generating an initial population of solutions of portfolio allocations; performing a first multi-objective process, based on the initial population and the competing objectives, to generate a first interim efficient frontier; performing a second multi-objective process, based on the initial population and the competing objectives, to generate a second interim efficient frontier; and fusing the first interim efficient frontier with the second interim efficient frontier to create an augmented efficient frontier for use in investment decisioning.

摘要翻译： 本发明的系统和方法针对组合优化和相关技术。 例如，本发明提供了一种用于基于竞争目标和构成组合问题的多个约束的投资决策中的多目标投资组合优化的方法，所述方法包括：生成投资组合分配的最初解决方案群体; 根据初始人口和竞争目标，进行第一个多目标过程，以产生第一个临时有效的前沿; 根据初始人口和竞争目标进行第二个多目标过程，以产生第二个临时有效的边界; 并将第一个临时有效的边界与第二个临时有效的前沿融合，创造出一个扩大的投资决策的有效前沿。

公开(公告)号：US07395188B1

公开(公告)日：2008-07-01

申请号：US11608076

申请日：2006-12-07

申请人： Kai Frank Goebel ,  Piero Patrone Bonissone ,  Weizhong Yan ,  Neil Holger White Eklund ,  Feng Xue ,  Hai Qiu

发明人： Kai Frank Goebel ,  Piero Patrone Bonissone ,  Weizhong Yan ,  Neil Holger White Eklund ,  Feng Xue ,  Hai Qiu

IPC分类号： G06F11/30 ,  G21C17/00

CPC分类号： G05B19/4184 ,  G05B2219/32234 ,  G05B2219/32235 ,  G05B2219/32369 ,  Y02P90/14 ,  Y02P90/26

摘要： A method to predict equipment life is disclosed. The method includes making available a set of input parameters, and defining a model of a health of the equipment as a function of the set of input parameters. The method continues with receiving at least one signal representative of a respective one of an actual sensor output relating to an actual operation attribute margin of the equipment, predicting a remaining useful equipment life based upon a sequence of outputs of the model of the health of the equipment, and generating a signal corresponding to the remaining useful equipment life.

摘要翻译： 公开了一种预测设备寿命的方法。 该方法包括提供一组输入参数，以及根据输入参数集合定义设备健康的模型。 该方法继续接收表示与设备的实际操作属性边缘相关的实际传感器输出中的相应一个信号的至少一个信号，基于该设备的健康模型的输出序列来预测剩余的有用设备寿命 设备，并产生对应于剩余有用设备寿命的信号。

公开(公告)号：US20050187844A1

公开(公告)日：2005-08-25

申请号：US10781780

申请日：2004-02-20

申请人： Kete Charles Chalermkraivuth ,  Srinivas Bollapragada ,  Piero Patrone Bonissone ,  Michael Craig Clark ,  Neil Holger White Eklund ,  Naresh Sundaram Iyer ,  Rajesh Venkat Subbu

发明人： Kete Charles Chalermkraivuth ,  Srinivas Bollapragada ,  Piero Patrone Bonissone ,  Michael Craig Clark ,  Neil Holger White Eklund ,  Naresh Sundaram Iyer ,  Rajesh Venkat Subbu

IPC分类号： G06Q40/00 ,  G06F17/60

CPC分类号： G06Q40/00 ,  G06Q10/06375 ,  G06Q40/06

摘要： The systems and methods of the invention are directed to portfolio optimization and related techniques. For example, the invention provides a method for multi-objective portfolio optimization for use in investment decisions based on competing objectives and a plurality of constraints constituting a portfolio problem, the method comprising: generating an initial population of solutions of portfolio allocations; performing a first multi-objective process, based on the initial population and the competing objectives, to generate a first interim efficient frontier; performing a second multi-objective process, based on the initial population and the competing objectives, to generate a second interim efficient frontier; and fusing the first interim efficient frontier with the second interim efficient frontier to create an augmented efficient frontier for use in investment decisioning.

摘要翻译： 本发明的系统和方法针对组合优化和相关技术。 例如，本发明提供了一种用于基于竞争目标和构成组合问题的多个约束的投资决策中的多目标投资组合优化的方法，所述方法包括：生成投资组合分配的最初解决方案群体; 根据初始人口和竞争目标，进行第一个多目标过程，以产生第一个临时有效的前沿; 根据初始人口和竞争目标进行第二个多目标过程，以产生第二个临时有效的边界; 并将第一个临时有效的边界与第二个临时有效的前沿融合，创造出一个扩大的投资决策的有效前沿。

公开(公告)号：US6078911A

公开(公告)日：2000-06-20

申请号：US288154

申请日：1994-08-10

申请人： Piero Patrone Bonissone ,  James Baldwin Comly ,  Mark Edward Dausch

发明人： Piero Patrone Bonissone ,  James Baldwin Comly ,  Mark Edward Dausch

IPC分类号： G06N7/02 ,  G06N7/04 ,  G06F15/18

CPC分类号： G06N7/026 ,  G06N7/04

摘要： A fuzzy logic controller is compiled into values in a look-up table such that the table may be used for adjusting a process dependent upon the state variables. The look-up table may be generated by use of a Mean of Maxima (MOM) technique for defuzzification. Alternately, an approximate Height Method (HM) may be used to provide defuzzification. The MOM and HM techniques allow fuzzy logic control without executing any rules in run-time. A further alternative uses an exact height method and minimizes the number of rules which are executed in run time.

摘要翻译： 模糊逻辑控制器被编译成查找表中的值，使得表可以用于根据状态变量来调整过程。 可以通过使用Maxima（MOM）均值技术去除模糊化来生成查找表。 或者，可以使用近似高度方法（HM）来提供去模糊化。 MOM和HM技术允许模糊逻辑控制，而无需在运行时执行任何规则。 另一个替代方案使用精确的高度方法，并最小化在运行时执行的规则数量。