为了对网络参数进行优化,本文提出了一种一般单纯形算法,这种方法比单纯形法收敛速度要快。
In order to optimize the parameters of the network, we propose the General Simplex Method, which converges more quickly than the Simplex Method.
仿真结果显示,自然梯度算法比传统梯度算法收敛速度更快,分离效果更好。
Simulation results show that the natural gradient approach has faster convergence speed and better separation performance than the conventional gradient based algorithm.
试验结果表明,该网络模型的收敛速度比一般BP网络有了很大提高,具有很好的实用性。
Experimental results show that the converging speed of this network model is faster than the traditional BP network and this model has a good practicability.
g has to be less than r for this to make sense because if g--if it's growing faster than the rate of interest, then this infinite series will not converge and the value would be infinite.
必须小于r才行得通,因为如果g比利率涨的还快,那么这个无穷序列就不会收敛,价值就是无穷了
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