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    • 4. 发明申请
    • Combinational Stochastic Logic
    • 组合随机逻辑
    • US20090228238A1
    • 2009-09-10
    • US12397754
    • 2009-03-04
    • Vikash Kumar MansinghkaEric Michael Jonas
    • Vikash Kumar MansinghkaEric Michael Jonas
    • G06F19/00
    • G06N7/005G06N7/04
    • Circuits that solve stochastic problems and techniques for operating them. These natively stochastic circuits may produce samples from probability distributions of interest for particular stochastic problems, and may be combined together in any suitable way to yield potential solutions to stochastic problems. In some implementations, the stochastic circuits may generate samples from conditional probability distributions conditioned on input data provided to the stochastic circuits. The circuits may be constructed from multiple interconnected stochastic subcircuits such that a circuit may produce a sample from a joint probability distribution, or from a marginal distribution of a joint distribution. These circuits may be used to implement stochastic sampling algorithms to solve stochastic processes, and may include stochastic subcircuits that operate concurrently.
    • 解决随机问题和操作技术的电路。 这些本地随机电路可以从特定随机问题的关注概率分布产生样本,并且可以以任何合适的方式组合在一起以产生随机问题的潜在解决方案。 在一些实现中,随机电路可以根据提供给随机电路的输入数据进行条件概率分布来生成样本。 电路可以由多个互连的随机子电路构成,使得电路可以从联合概率分布或从联合分布的边际分布产生样本。 这些电路可以用于实现随机采样算法来解决随机过程,并且可以包括并发操作的随机子电路。
    • 6. 发明授权
    • Method and apparatus for parallel processing of fuzzy rules
    • 模糊规则并行处理的方法和装置
    • US06424957B1
    • 2002-07-23
    • US08938117
    • 1997-09-26
    • Vincenzo MatrangaBiagio GiacaloneMassimo Abruzzese
    • Vincenzo MatrangaBiagio GiacaloneMassimo Abruzzese
    • G06F1518
    • G06N7/04
    • Method and apparatus of parallel processing of multiple inference rules organized in fuzzy sets or logical functions of multiple fuzzy sets including membership functions defined in a so-called universe of discourse. The inference rules are configured essentially as IF-THEN rules with at least one antecedent preposition and at least one consequent implication. The prepositions have at least one term of comparison between membership functions and a plurality of input data and each term is separated by logical operators. The method associates with the logical operators maximum and minimum operations among two or more elements and calculates exhaustively the overall degree of truth (&OHgr;) of a rule with a maximum or minimum of N partial truth levels. The method is accomplished by a plurality of identical, parallel inferential processors. Each inferential processor determines a preposition or a partial truth level of a preposition.
    • 在多个模糊集合的模糊集或逻辑函数中组织的多个推理规则的并行处理的方法和装置,包括在所谓的话语世界中定义的隶属函数。 推理规则基本上被配置为具有至少一个先行介词的IF-THEN规则和至少一个后果含义。 介词具有至少一个术语的隶属函数和多个输入数据之间的比较,每个术语由逻辑运算符分隔。 该方法与两个或更多个元素中的逻辑运算符最大和最小运算相关联,并且计算具有最大或最小N个部分真实级别的规则的总体真实度(OMEGA)。 该方法由多个相同的并行推理处理器完成。 每个推理处理器确定介词的介​​词或部分真实级别。
    • 7. 发明授权
    • Stochastic encoder/decoder/predictor
    • 随机编码器/解码器/预测器
    • US06424956B1
    • 2002-07-23
    • US09271439
    • 1999-03-18
    • Paul J. Werbos
    • Paul J. Werbos
    • G06N702
    • G06N7/04
    • An artificial intelligence system is provided which makes use of a dual subroutine to adapt weights. Elastic Fuzzy Logic (“ELF”) System is provided in which classical neural network learning techniques are combined with fuzzy logic techniques in order to accomplish artificial intelligence tasks such as pattern recognition, expert cloning and trajectory control. The system may be implemented in a computer provided with multiplier means and storage means for storing a vector of weights to be used as multiplier factors in an apparatus for fuzzy control.
    • 提供了一种人工智能系统,利用双子程序来改变权重。 提供了弹性模糊逻辑(“ELF”)系统,其中经典神经网络学习技术与模糊逻辑技术相结合,以便完成人工智能任务,如模式识别,专家克隆和轨迹控制。 该系统可以在具有乘法器装置和存储装置的计算机中实现,用于存储要用作模糊控制的装置中的乘数因子的权重向量。
    • 8. 发明授权
    • Fuzzy logic electronic processor
    • 模糊逻辑电子处理器
    • US06256617B1
    • 2001-07-03
    • US08904514
    • 1997-08-01
    • Antonino Cuce'Enrico Pelos
    • Antonino Cuce'Enrico Pelos
    • G06F1518
    • G06N7/04Y10S706/90
    • A processor operating in a fizzy logic's mode and including a fuzzyfication unit receiving a plurality of input variables on its input and being adapted to compute a membership value of such variables in a membership function, a processing unit connected downstream of the fuzzyfication unit to produce a fuzzy set, i.e. the results of fuzzy logic inference operations performed on the plurality of variables, and a defuzzyfication unit operative to translate the inference results into a so-called crisp value. The processor further includes a first memory device connected to the fuzzyfication unit and containing the set of membership functions, a second memory device connected to the defuzzyfication unit and containing the set of crisp value which appear in the THEN part of the fizzy rules, and a further memory device connected to the defuzzyfication unit.
    • 一种处理器,其操作方式为虚拟逻辑模式,包括:模糊单元,在其输入端接收多个输入变量,并适于计算隶属度函数中的这些变量的隶属度值;连接在模糊单元下游的处理单元, 模糊集合,即对多个变量执行的模糊逻辑推理操作的结果,以及可操作以将推论结果转换成所谓的清晰值的解模糊单元。 所述处理器还包括连接到所述模糊单元并且包含所述一组隶属函数的第一存储器设备,连接到所述去模糊单元并且包含出现在所述闪烁规则的所述THEN部分中的一组清晰值的第二存储器设备,以及 另外的存储器件连接到除颤模块。