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1. 发明授权

US5251269A Multi-layer neural network modelled after the striate cortex for recognizing visual patterns 失效
标题翻译：多层神经网络建立在条纹皮质之后，用于识别视觉模式
公开(公告)号：US5251269A
公开(公告)日：1993-10-05
申请号：US774376
申请日：1991-10-10
申请人： Edgar Korner , Hiroshi Shimizu , Ichiro Tsuda , Hiroaki Tanaka
发明人： Edgar Korner , Hiroshi Shimizu , Ichiro Tsuda , Hiroaki Tanaka
IPC分类号： G06K9/66 , G06N3/04 , G06K9/62 , G01L1/06 , G06F15/00
CPC分类号： G06N3/04 , G06K9/66
摘要： A pattern recognition system includes at least one pair of basic associative units each having at least first and second unit ports for receiving pattern signal groups, respectively and a third unit port for outputting a pattern signal group. The pattern recognition system has characteristics of the type of pattern recognition carried out by living organisms. Each of the basic units operates to derive weighting values for respective signals of the pattern signal groups inputted to the first and second unit ports of the basic unit itself in accordance with the degree of consistency between a previously given weighting pattern and respective patterns specified by the pattern signal groups inputted to the first and second unit ports of the basic unit itself. Each of the basic units also operates to modulate the respective signals of the pattern signal groups inputted to the first and second unit ports of the basic unit in accordance with the derived weighting values and to totalize the modulated signals so as to form an output signal outputted form the third unit port of the basic unit itself. The third unit port of one of the basic unit pair is coupled to the first unit port of the other basic unit, and the third unit port of the other basic unit is coupled to the second unit port of the one basic unit. Thus, the third unit port of one of the basic unit pair gives an recognition output.
摘要翻译：模式识别系统包括至少一对基本关联单元，每个基本关联单元分别具有用于分别接收模式信号组的第一和第二单元端口和用于输出模式信号组的第三单元端口。模式识别系统具有生物体进行模式识别的特点。每个基本单元操作以根据先前给出的加权模式与由基本单元本身指定的各个模式之间的一致性程度导出输入到基本单元本身的第一和第二单位端口的模式信号组的相应信号的加权值输入到基本单元本身的第一和第二单元端口的模式信号组。每个基本单元还操作以根据导出的加权值来调制输入到基本单元的第一和第二单位端口的图案信号组的各个信号，并且对调制信号进行累加，以形成输出的输出信号形成基本单元本身的第三单元端口。基本单元对中的一个的第三单元端口耦合到另一个基本单元的第一单元端口，另一个基本单元的第三单元端口耦合到一个基本单元的第二单元端口。因此，基本单元对中的一个的第三单元端口给出识别输出。

2. 发明申请

US20100305925A1 AUTONOMOUS EXPERIMENTAL DESIGN OPTIMIZATION 有权
标题翻译：自动实验设计优化
公开(公告)号：US20100305925A1
公开(公告)日：2010-12-02
申请号：US10456179
申请日：2003-06-05
申请人： Bernhard A. Sendhoff , Edgar Korner , Andreas Richter
发明人： Bernhard A. Sendhoff , Edgar Korner , Andreas Richter
IPC分类号： G06G7/48
CPC分类号： G06F17/5095 , G06F2217/08 , G06F2217/16 , Y02T10/82
摘要： Iterative (nondeterministic) optimization of aerodynamic and hydrodynamic surface structures can be accomplished with a computer software program and a system using a combination of a variable encoding length optimization algorithm based on an evolution strategy and an experimental hardware set-up that allows to automatically change the surface properties of the applied material, starting with the overall shape and proceeding via more detailed modifications in local surface areas. The optimization of surface structures may be done with a computing device for calculating optimized parameters of at least one (virtual) surface structure, an experimental hardware set-up for measuring dynamic properties of a specific surface structure, and an interface for feeding calculated parameters from the computing device to the experimental set-up and for feeding measured results back to the computing device as quality values for the next cycle of the optimizing step.
摘要翻译：空气动力学和流体动力学表面结构的迭代（非确定性）优化可以通过计算机软件程序和使用基于进化策略的可变编码长度优化算法和实验硬件设置的组合来实现，该实验硬件设置允许自动改变应用材料的表面性质，从总体形状开始，并通过局部表面积的更详细的修改进行。可以用用于计算至少一个（虚拟）表面结构的优化参数的计算装置，用于测量特定表面结构的动态特性的实验硬件设置以及用于从计算设备到实验设置并将测量结果馈送回计算设备作为优化步骤的下一循环的质量值。

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