neural network training信息详情
神经网络训练
neural network───神经网络；神经式网络
recurrent neural network───n.循环神经网络；递归神经网络；[计]递归神经网络
neural───adj.神经的；神经系统的；背的；神经中枢的；n.(Neural)人名；(捷)诺伊拉尔
network───n.网络；广播网；网状物
neural networks───神经网络；类神经网路
neural activity───神经活动
neural pathway───[解剖]神经通路
neural communication───神经通讯
training───n.训练；培养；瞄准；整枝；v.训练；教养（train的ing形式）
Based on this, we also adopt the adding mean quantization algorithm to improve the neural network training speed of image processing.───在此基础上又采用了加均值量化算法来提高神经网络图像压缩处理的训练速度。
Research of fast Neural Network training algorithm is taken attention at all times.───神经网络快速训练算法的研究一直是人们所关注的问题之一。
In addition, it does not require the time-consuming training process offline and saves the time of neural network training.───此外，它并不需要耗费的时间的训练过程中脱机并保存的神经网络训练的时间。
In addition, it does not require the time-consuming training process offline and saves the time of neural network training.───除此之外，也无需对神经网络进行离线训练，节省了神经网络的训练时间。
Through taking the database of the test as the example of neural network training samples, we obtain statistical analysis data.───并使用考种的数据作为神经网络训练样本的实例，得到统计分析数据。
Rapid Genetic Algorithm Used for Multilayer Feedforward Neural Network Training───用于多层前馈神经网络学习的快速遗传算法
Hybrid pruning algorithm for artificial neural network training───人工神经网络混合剪枝算法
On fast neural network training algorithm with hybrid genetic algorithm───用混合遗传算法实现神经网络快速训练
On fast PNN neural network training algorithm with hybrid genetic algorithm───用混合遗传算法实现对PNN网络的快速训练
This algorithm splits the difference between the Newton method and the steepest descent method, which is suitable for neural network training.
A novel method for adaptive communication channel equalization based on a multi layer feed forward neural network training algorithm was proposed in this paper.