此解的中子密度空间分布曲率是随堆功率变化的，因此它比点堆模型方程的解析解精确。
The space curvature of neutron density of this solution is changed according to the changes of reactor power, so it is more precise than the analytic solution of point reactor model.
针对核反应堆点堆动态非线性模型，提出了一种非线性状态反馈的中子通量密度恒值控制的新方法。
According to the nonlinear dynamic model of a nuclear reactor, a new constant neutron flux density control method based on nonlinear state feedback is presented.
神经网络的训练采用一阶梯度优化算法，利用点堆中子动力学模型产生训练样本。
The first order gradient optimization algorithm is employed to train the network. The training samples stem from the neutron kinetics of the point-reactor.
该模型应用埃米尔特插值法求解点堆动力学方程，其它方程采用半隐式差分法求解。
The point kinetics equation is resolved by Emirt and the others by half-implicit difference. Then a simulation code is programed.
该模型应用埃米尔特插值法求解点堆动力学方程，其它方程采用半隐式差分法求解。
The point kinetics equation is resolved by Emirt and the others by half-implicit difference. Then a simulation code is programed.
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