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    • 1. 发明授权
    • Neural network circuit
    • 神经网络电路
    • US5353383A
    • 1994-10-04
    • US909993
    • 1992-07-07
    • Kuniharu UchimuraOsamu SaitoYoshihito AmemiyaAtsushi Iwata
    • Kuniharu UchimuraOsamu SaitoYoshihito AmemiyaAtsushi Iwata
    • G06N3/063G06F15/18
    • G06K9/6287G06N3/063
    • A neural network circuit including a number n of weight coefficients (W1-Wn) corresponding to a number n of inputs, subtraction circuits for determining the difference between inputs and the weight coefficients in each input terminal, the result thereof being inputted into absolute value circuits, all calculation results of the absolute value circuits corresponding to the inputs and the weight coefficients being inputted into an addition circuit and accumulated, and this accumulation result determining the output value. A threshold value circuit determines the final output value, according to a step function pattern, a polygonal line pattern, or a sigmoid function pattern, depending on the object. In the case in which a neural network circuit is realized by means of digital circuits, the absolute value circuits can include simply EX-OR logic (exclusive OR) gates. Furthermore, in the case in which the input terminals have two input paths and two weight coefficients corresponding to each input path, the neuron circuits form a recognition area having a flexible shape which is controlled by the weight coefficients.
    • 包含对应于n个输入的权重系数(W1-Wn)数量n的神经网络电路,用于确定输入端之间的差异和每个输入端子的权重系数的减法电路,其结果被输入到绝对值电路 将与输入对应的绝对值电路和加权系数的所有计算结果输入加法电路并累加,并且该累加结果确定输出值。 根据对象,阈值电路根据阶梯函数图案,折线图案或S形函数图案确定最终输出值。 在通过数字电路实现神经网络电路的情况下,绝对值电路可以包括简单的EX-OR逻辑(异或)门。 此外,在输入端子具有两个输入路径和对应于每个输入路径的两个权重系数的情况下,神经元电路形成具有由权重系数控制的柔性形状的识别区域。
    • 2. 发明授权
    • Neural network circuit
    • 神经网络电路
    • US5467429A
    • 1995-11-14
    • US266691
    • 1994-06-28
    • Kuniharu UchimuraOsamu SaitoYoshihito AmemiyaAtsushi Iwata
    • Kuniharu UchimuraOsamu SaitoYoshihito AmemiyaAtsushi Iwata
    • G06N3/063G06F15/18
    • G06K9/6287G06N3/063
    • A neural network circuit including a number n of weight coefficients (W1-Wn) corresponding to a number n of inputs, subtraction circuits for determining the difference between inputs and the weight coefficients in each input terminal, the result thereof being inputted into absolute value circuits, all calculation results of the absolute value circuits corresponding to the inputs and the weight coefficients being inputted into an addition circuit and accumulated, and this accumulation result determining the output valve. A threshold valve circuit determines the final output value, according to a step function pattern, a polygonal line pattern, or a sigmoid function pattern, depending on the object. In the case in which a neural network circuit is realized by means of digital circuits, the absolute value circuits can include simply EX-OR logic (exclusive OR) gates. Furthermore, in the case in which the input terminals have two input paths and two weight coefficients corresponding to each input path, the neuron circuits form a recognition area having a flexible shape which is controlled by the weight coefficients.
    • 包含对应于n个输入的权重系数(W1-Wn)数量n的神经网络电路,用于确定输入端之间的差异和每个输入端子的权重系数的减法电路,其结果被输入到绝对值电路 对应于输入和加权系数的绝对值电路的所有计算结果被输入到加法电路并累积,并且该累加结果确定输出阀。 阈值阀电路根据步骤功能图案,多边形线图案或S形函数图案来确定最终输出值,这取决于对象。 在通过数字电路实现神经网络电路的情况下,绝对值电路可以包括简单的EX-OR逻辑(异或)门。 此外,在输入端子具有两个输入路径和对应于每个输入路径的两个权重系数的情况下,神经元电路形成具有由权重系数控制的柔性形状的识别区域。
    • 3. 发明授权
    • Neural network circuit
    • 神经网络电路
    • US5166539A
    • 1992-11-24
    • US727065
    • 1991-07-08
    • Kuniharu UchimuraOsamu SaitoYoshihito AmemiyaAtsushi Iwata
    • Kuniharu UchimuraOsamu SaitoYoshihito AmemiyaAtsushi Iwata
    • G06N3/063
    • G06K9/6287G06N3/063
    • A neural network circuit, in which a number n of weight coefficients (Wl-wn) corresponding to a number n of inputs are provided, subtraction circuits determine the difference between inputs and the weight coefficients in each input terminal, the result thereof is inputted into absolute value circuits, all calculation results of the absolute value circuts corresponding to the inputs and the weight coefficients are inputted into an addition circuit and accumulated, and this accumulation result determines the output value. The threshold value circuit, which determines the final output value, has characteristics of a step function pattern, a polygonal line pattern, or a sigmoid function pattern, depending on the object. In the case in which a neural network circuit is realized by means of digital circuits, the absolute value circuits can comprise simply EX-OR logic (exclusive OR) gates. Furthermore, in the case in which the input terminals have two input paths and two weight coefficients corresponding to each input path, the neuron circuits form a recognition area having a flexible shape which is controlled by the weight coefficients. Neuron circuits are widely used in pattern recognition; neuron circuits react to a pattern inputted into the input layer and recognition is thereby conducted.
    • 5. 发明授权
    • Composition and method for controlling plant diseases
    • 防治植物病害的成分及方法
    • US09179672B2
    • 2015-11-10
    • US14239858
    • 2012-08-23
    • Atsushi IwataMakoto Kurahashi
    • Atsushi IwataMakoto Kurahashi
    • A01N37/30A01N43/653A01N43/50A01N43/76A01N37/26A01N37/18
    • A01N37/26A01N37/18A01N37/30A01N43/653A01N2300/00A01N43/50A01N43/76
    • The present invention provides a composition for controlling plant diseases having an excellent control efficacy on plant diseases. A composition for controlling plant diseases comprising an amide compound represented by a formula (I); wherein each of symbols are the same as defined in the Description; or salts thereof and at least one kind of azole compounds selected from the group (A) consisting of tebuconazole, difenoconazole, triticonazole, imazalil, triadimenol, fluquinconazole, prochloraz, prothioconazole, diniconazole, diniconazole M, cyproconazole, tetraconazole, ipconazole, triforine, pyrifenox, fenarimol, nuarimol, oxpoconazole fumarate, pefurazoate, triflumizole, azaconazole, bitertanol, bromuconazole, epoxiconazole, fenbuconazole, flusilazole, flutriafol, hexaconazole, imibenconazole, myclobutanil, penconazole, propiconazole, simeconazole, triadimefon and metconazole, shows an excellent controlling efficacy on plant diseases.
    • 本发明提供一种用于防治对植物病害具有优异防治效果的植物病害的组合物。 一种用于控制植物病害的组合物,其包含由式(I)表示的酰胺化合物; 其中每个符号与描述中定义的相同; 或其盐和选自由以下组成的组中的至少一种唑类化合物(A):由戊唑醇,苯醚甲环唑,三唑唑,咪唑唑,三唑醇,氟喹唑,丙氯灵,丙硫菌唑,二菌唑,二康唑,咪康唑,噻卡唑,咪康唑, ,芬那立姆,纳唑仑,富唑来唑,扑火山梨醇,三氟菌唑,阿acon唑,比特坦醇,溴康唑,环唑唑,氟苯唑,氟西拉唑,氟替康,六唑康唑,阿米芬唑,环丙唑胺,康康唑,丙环唑,西康唑,三唑酮和康唑,对植物病害的控制效果优异 。
    • 7. 发明申请
    • COMPOSITION AND METHOD FOR CONTROLLING PLANT DISEASES
    • 用于控制植物病害的组合物和方法
    • US20140221441A1
    • 2014-08-07
    • US14239811
    • 2012-08-23
    • Atsushi IwataMakoto Kurahashi
    • Atsushi IwataMakoto Kurahashi
    • A01N43/38A01N37/30A01N43/653
    • A01N43/38A01N37/30A01N43/653
    • The present invention provides a composition for controlling plant diseases having an excellent control efficacy on plant diseases. A composition for controlling plant diseases comprising an amide compound represented by a formula (I): wherein each of symbols are the same as defined in the Description; or salts thereof and one or more kinds of azole compounds selected from the group (A) consisting of tebuconazole, difenoconazole, triticonazole, imazalil, triadimenol, fluquinconazole, prochloraz, prothioconazole, diniconazole, diniconazole M, cyproconazole, tetraconazole, ipconazole, triforine, pyrifenox, fenarimol, nuarimol, oxpoconazole fumarate, pefurazoate, triflumizole, azaconazole, bitertanol, bromuconazole, epoxiconazole, fenbuconazole, flusilazole, flutriafol, hexaconazole, imibenconazole, myclobutanil, penconazole, propiconazole, simeconazole, triadimefon and metconazole, shows an excellent controlling efficacy on plant diseases.
    • 本发明提供一种用于防治对植物病害具有优异防治效果的植物病害的组合物。 一种用于防治植物病害的组合物,其包含式(I)表示的酰胺化合物:其中每个符号与描述中所定义相同; 或其盐和选自由以下组成的组中的一种或多种吡唑类化合物(A):戊唑醇,苯醚甲环唑,三唑唑,咪达唑仑,三唑醇,氟康唑,丙氯灵,丙硫菌唑,二康唑,二康唑,咪康唑,噻卡唑,咪康唑, ,芬那立姆,纳唑仑,富唑来唑,扑火山梨醇,三氟菌唑,阿acon唑,比特坦醇,溴康唑,环唑唑,氟苯唑,氟西拉唑,氟替康,六唑康唑,阿米芬唑,环丙唑胺,康康唑,丙环唑,西康唑,三唑酮和康唑,对植物病害的控制效果优异 。