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Forward Displacement Analysis of 6-SPS Mechanism based on Hyper-chaos Neural Network Mathematical Programming

机译:基于超混沌神经网络数学规划的6-SPS机制的前进位移分析

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摘要

The solutions of mechanism position fall squarely into the solutions of nonlinear evolution equations, which is an extremely difficult process. Using the chaotic sequence as the initial values of mathematical programming, all solutions of equations can be quickly found out. Neural network, which is a highly complicated nonlinear system, exist the chaos phenomenon. By eliminating the simulated annealing strategy of the transient chaos nerve cell, a kind of chaotic nerve cell that could permanently maintain chaos was investigated. With the hyper-chaos system and mathematical programming, the this new method for solving the nonlinear equation setting based on the initial node generating by the hyper-chaos mathematical programming of neural network was put forward. The mathematical model of forward displacement analysis of general 6-SPS parallel mechanisms is set up based on a quaternion.
机译:机构位置的解均正常落入非线性演化方程的解,这是一个极其困难的过程。使用混沌序列作为数学编程的初始值,可以快速找到所有方程解。神经网络是一种高度复杂的非线性系统,存在混乱现象。通过消除瞬态混沌神经细胞的模拟退火策略,研究了可以永久维持混乱的一种混沌神经细胞。利用超混沌系统和数学编程,提出了基于神经网络的超混沌数学编程的初始节点求解非线性方程设置的这种新方法。基于四元数建立了一般的6-SPS并联机制的前向位移分析的数学模型。

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