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METHOD AND APPARATUS FOR DETECTING SIGNAL USING STATE SUM NETWORK OF CHAOS NEURON ELEMENT

机译:利用混沌神经元状态和网络检测信号的方法和装置

摘要

PROBLEM TO BE SOLVED: To detect a period signal of an input signal from a directly input signal by using a low of large numbers by executing a resonance due to chaos dynamics of a neuron model and state sum without providing a threshold value at the input signal. SOLUTION: The method for detecting a signal using state sum network of a chaos neuron element comprises steps of inputting a weak period signal to each neuron element, S1, amplifying the period signal of a specific frequency by resonance due to chaos dynamics of a neuron model, S2, executing a state sum of the neuron elements, S3, frequency analyzing time series of the added chaos, S4, detecting a peak from a frequency distribution of the time series of the chaos, S5, and deciding the frequency of the period signal from a detected peak value, S6.
机译:解决的问题:通过执行由于神经元模型和状态和的混沌动力学引起的共振,而无需在输入信号上提供阈值,从而通过使用大数中的小数来从直接输入信号中检测输入信号的周期信号。解决方案:使用混沌神经元元件的状态总和网络检测信号的方法包括以下步骤:向每个神经元元件S1输入一个弱周期信号,通过神经元模型的混沌动力学通过共振放大特定频率的周期信号。 ,S2,执行神经元元素的状态总和,S3,对添加的混沌的时间序列进行频率分析,S4,从混沌的时间序列的频率分布中检测峰值,S5,并确定周期信号的频率根据检测到的峰值S6。

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