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The model consists of a conventional associative memory network and a presynapstic inhibitation network.

模型是一个有突触前抑制的联想记忆神经网络

A sort of autonomous agent construction method based on adaptive symbiotic evolutionary model was proposed,and by using adaptive symbiotic evolution algorithmas an evolutionary reinforcement learning method,Which can design neural network decision making systems effectively. while at the same time this method can accelerate the learning and convergence speed in the behavior evolution problem of multi agent autonomous system,and it also prevents premature convergence and promotes population diversity.

文章研究了一类基于自适应共生进化模型的自主体构造方法,提出了基于自适应共生进化算法的一种进化强化学习方法,该方法不仅可以高效地进行神经网络决策系统的设计,而且在多自主体组成的自律系统的群体行为进化中可快速学习而收敛,并且通过多样度调节维持了群体多样性,克服了未成熟收敛现象。

A neural network model with the global convergence is proposed and studied in this paper.

本文提出并研究了一种具有全局收敛特性的神经网络模型。

The convergency speed of the modified BP neural network is increased by one or two orders of magnitude.

改进后的BP神经网络的收敛速度提高了1~2个数量级。

The methods of controlled PWM convertor are introduced, and detailedly analyze thedead-beat current method.

分析了这种谐波检测法的滤波原理,径向基函数神经网络的结构和权值调整的算法。

The experimental results show that HLSC is not only a more powerful method for evaluating the effectiveness of the input sample representation, but also a practical way to convex analysis of input sample sets.

通过对HLSC应用特点的分析,说明该方法是一种更有效且适用性更强的样本分类有效性评价方法,同时它也是一种有效的样本凸特性分析的实用方法和神经网络模式识别过程的预分类过程。

For solving problem (1), this dissertation first presents a sufficient and necessary condition by dealing with inequalities using projection operator in convex analysis, and then proposes a kind of new neural network model based on the constraint domain:〓(2) Where P is a projection operator on Q.

本文利用凸分析中的投影算子处理不等式约束,首先给出二次规划问题(1)解存在的充分和必要条件,据于此提出一种新的基于约束区域神经网络模型〓(2)来进行求解,其中P为Q上的投影算子。

The error caused by the unsuitable choice of model factor can be avioded by the convolute analysis of dam material parameter based on the model of neural network.

利用神经网络模型对大坝材料参数进行反演,可避免建模因子的选择不当而造成的误差,精度较高。

To detect cooling water system,a method based on wavelet forecast for sensor fault diagnosis is proposed.

以船舶冷却水系统传感器故障检测问题为目标,提出了基于小波神经网络预测器的传感器故障诊断方法。

In the model, the forecasting load can be got by adding a correction value to similar day load data.

在该模型中,预测负荷通过对预测日的类似日负荷数据加一个矫正值来获得,矫正值从神经网络产生,网络结构得到简化。

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