首页> 外国专利> A neural network for quick conversion deductible in SYSTEM CODE CODE Generalized positional number system

A neural network for quick conversion deductible in SYSTEM CODE CODE Generalized positional number system

机译:可以在SYSTEM CODE CODE广义位置编号系统中扣除的快速转换神经网络

摘要

u043du0435u0439u0440u043eu043du043du0430u00a0 network u0434u043bu00a0 rapid u043fu0440u0435u043eu0431u0440u0430u0437u043eu0432u0430u043du0438u00a0 code system of deductions in code u0441u0447u0438u0441u043bu0435u043du0438u00a0 generalized positional system, u0441u043eu0434u0435u0440u0436u0430u0449u0430u00a0 input layer neurons, the entrances of which u00a0u0432u043bu00a0u044eu0442u0441u00a0 inputs of neural network, and the end rings of the first and second u00a0u0440u0443u0441u0430, u043eu0442u043bu0438u0447u0430u044eu0449u0430u00a0u0441u00a0 so that, with a view to u0441u043eu043au0440u0430u0449u0435u043du0438u00a0 u043eu0431u043eu0440u0443u0434u043eu0432u0430u043du0438u00a0, u0443u0432u0435u043bu0438u0447u0435u043du0438u00a0 u0441u043au043eu0440u043eu0441 you u043fu0440u0435u043eu0431u0440u0430u0437u043eu0432u0430u043du0438u00a0 and u0440u0430u0441u0448u0438u0440u0435u043du0438u00a0 functionality in it.the input u0441u043bu043eu00a0 neurons in neural network u0440u0430u0437u0432u0435u0442u0432u043bu0435u043du044b entrance end rings which are connected with the first u00a0u0440u0443u0441u0430 exits, entrances of neurons in the neural network to the second u00a0u0440u0443u0441u0430 u043du0435u0447u043du043eu0433u043e rings, and which u00a0u0432u043bu00a0u044eu0442u0441u00a0 exits the device.
机译:u043d u0435 u0439 u0440 u043e u043d u043d u0430 u00a0网络 u0434 u043b u00a0快速 u043f u0440 u0435 u043e u0431 u0440 u0430 u0437 u043e u0432 u0430 u0438 u00a0代码演绎中的代码系统 u0441 u0447 u0438 u0441 u043b u0435 u043d u0438 u00a0广义位置系统 u0441 u043e u0434 u0435 u0435 u0440 u0436 u0430 u0449 u0430 u00a0输入层神经元,其入口 u00a0 u0432 u043b u00a0 u044e u0442 u0441 u00a0输入神经网络,并且第一个和第二个 u00a0 u0440 u0443 u0441 u0430 , u043e u0442 u043b u0438 u0447 u0430 u044e u0449 u0430 u00a0 u0441 u00a0,以便查看 u0441 u043e u043a u0440 u0430 u0430 u0449 u0435 u043d u0438 u00a0 u043e u0431 u043e u0440 u0443 u0434 u043e u0432 u0430 u043d u0438 u00a0, u0443 u0432 u0435 u043b u0438 u0447 u0435 u043d u0438 u00a0 u043a u043e u0440 u043e u0441您 u043f u0440 u0435 u043e u0431 u0431 u0440 u0430 u0437 u043e u0432 u0430 u043d u0438 u00a0和 u0440 u0430 u0441 u0448 0 u0440 u0435 u043d u0438 u00a0功能。神经网络中的输入 u0441 u043b u043e u00a0神经元 u0440 u0430 u0437 u0432 u0435 u0442 u0432 u0432 u043b u0435 u043d u044b与第一个 u00a0 u0440 u0443 u0441 u0430连接的入口端环退出,神经网络中神经元的入口到第二个 u00a0 u0440 u0443 u0441 u0430 u043d u0435 u0447 u043d u043e u0433 u043e振铃,并且其中 u00a0 u0432 u043b u00a0 u044e u0442 u0441 u00a0退出设备。

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