求翻译：该算法从隐含层神经元个数的确定方法、权重和阀值的初始值域、误差函数和自适应学习速率等方面对误差反传算法进行改进，以达到提高网络的收敛速度的目的；同时引入遗传算法，再次，该文根据非线性时间序列预测原理，提出股价预测模型。是什么意思？

To improve the algorithm from the method for determining the hidden layer neurons, the initial range of weights and thresholds, the error function and adaptive learning rate back-propagation algorithm to improve the network convergence speed of the purpose of ; the introduction of the genetic algori

The algorithm from hidden layer neuron a method for determining, weight and threshold of the Initial Value field, error functions, and the adaptive learning rate of error in such as anti-pass algorithms to improve and to increase the speed of network convergence of purpose, and once again introduced

This algorithm from concealment level neuron integer definite aspects and so on method, weight and valve value starting value territory, error function and auto-adapted study speed makes the improvement to the erroneous counter-biography algorithm, achieved enhances the network the convergence rate

The algorithm from the method of determining the number of hidden layer neurons, weights and thresholds of the initial domain, error function and adaptive learning rate, improvements to the error back propagation algorithm, for increasing the speed of convergence of the network purpose; at the same

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