One of the important problems in the research of the artificial neural networks is the optimum learning method.
网络的优化学习是人工神经研究中的一个重要问题。
The AMARC Teaching Method focuses on stimulating the unlimited brain power of children in order to achieve the optimum learning capability in the development of left and right brain.
重点研究：“如何扩大发挥心算”对大脑潜能的训练，以达到幼儿左右脑的平衡、开发及培养学习能力。”
The optimum programs are made for the target error, the learning of Neural Network, the time of training.
对目标误差、网络的学习率和训练次数进行了具体的优化。
The purpose of this study is to construct psychological frame of motor learning concerning aerial technical project and pass judgement on optimum training program and effect of helping skiing speed.
研究目的：构建空中技巧项目技能学习心理结构和助滑速度最佳训练控制方案与效果的评定。
As Particle Swarm Optimization (PSO) may easily get trapped in a local optimum, an improved PSO based on adaptive dynamic neighborhood and comprehensive learning named ADPSO was proposed.
为了克服粒子群算法在求解多峰函数时极易陷入局部最优解的缺陷，提出一种基于自适应动态邻居广义学习的改进粒子群算法(ADPSO)。
The optimum of the learning gains is determined in the sense that the integral of square error of the first learning is minimal, thus the aim of choosing learning gains is clear.
在这个意义上，是最小平方误差的积分的第一学习确定的最佳的学习增益，从而选择学习增益的目的是明确的。
The GA-BP learning algorithm of neural network, the GA learning algorithm, the rule of optimum control including their features were introduced.
给出了作为模型预估器的神经网络GA—BP算法流程及GA 算法实现， 提出了最优控制指标选择原则及控制指标表达式。
The GA-BP learning algorithm of neural network, the GA learning algorithm, the rule of optimum control including their features were introduced.
给出了作为模型预估器的神经网络GA—BP算法流程及GA 算法实现， 提出了最优控制指标选择原则及控制指标表达式。
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