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.
应用推荐