learning rate造句
例句与造句
- these include differences in learning rates
这包括阅读速度不同。 - dynamic fuzzy-neural and its fast adaptive learning rate
动态模糊神经网络及其快速自调整学习算法 - a decimal genetic algorithm ( ga ) is used to optimize the neuron's learning rate
为了对神经元的学习速率进行优化，采用了十进制编码的遗传算法。 - the result proved, this technology was well, it lied in advantage about learning rate rapidity, classify nicety high
研究表明，该方法效果良好，学习速度快，分类准确率高。 - in the training process, the adaptive learning rate and error batch-mode process are introduced to accelerate the training rate
在神经网络自学习过程中，引入了自适应学习速率和误差批处理法，加快了学习速度。 - It's difficult to find learning rate in a sentence. 用learning rate造句挺难的
- it is often tempting to hurry the child beyond his natural learning rate, but this can set up dangerous feeling of failure and states of worry in the child
促使孩子超常学习通常具有诱惑力，但这样做有可能在孩子身上形成危险的失败感的焦虑心理。 - in order to improve the learning rate of backpropagation neural network, levenberg-marquart algorithm was proposed to learning network optimized weight parameters
为了提高bp网络的学习效率，本文将levenberg-marquart(l-m)算法引入到bp网络中进行网络权值的学习。 - ann is trained through fast bp algorithm with variable learning rate that mixed with momentum factor . this algorithm can improve network's reliability
算法上采用含有动量因子的自适应调整学习率的变学习率算法对网络进行学习训练，以提高网络的学习速度，并且可以增加算法的可靠性。 - the purpose of this study was to explore the effect of the different training samples, learning rate and numbers of hidden layers on the classified accuracy when using learning vector quantization to analysis
摘要本研究采电脑模拟探讨不同训练范例样本数、学习速率及隐藏层个数对学习向量量化网路分类正确率之影响。 - the purpose of this study was to explore the effect of the different training samples, learning rate and numbers of hidden layers on the classified accuracy when using learning vector quantization to analysis
摘要本研究采计算机仿真探讨不同训练示范样本数、学习速率及隐藏层个数对学习矢量量化网络分类正确率之影响。 - in order to solve the bp neural network " s inherent deficiency of slowly converging and easily falling into local minimum, we propose to use an algorithm combined self-adapting learning rate and extra momentum
为了克服bp网络在学习训练过程中收敛速度慢、容易陷入局部极小的不足，本文采用了自适应的学习速率和附加动量法。 - ann is trained through fast bp algorithm with variable learning rate that mixed with momentum factor and levenberg-marquardt algorithm . these algorithms can improve network's convergence speed
算法上采用含有动量因子的自适应调整学习率的变学习率算法或levenberg一marquardi优化方法对网络进行训练，以提高网络的收敛速度。 - in this paper, a supervised oja's learning rule is presented . in addition, the rule is introduced into linear neuron adaptive pid control algorithm . an analysis is given that the effect of learning rate on controlling
本文提出一种有教师的oja学习规则，并将这种规则引入了神经元的自适应学习中，分析了神经元的学习速率对控制性能的影响。 - this paper's study was emphasized on : 1 . set up bp neural network set up bp network by matlab toolbox . chosen transfer function among every layer, training error and learning rate were included
重点研究内容：(1)建立bp(backpropagation)神经网络用matlab提供的人工神经网络工具箱建立网络，包括选择各层间的传递函数、确定网络训练误差和学习速率等，为建立定价模型做准备。 - based on unsupervised classification, improve the original kononen neural network ( knn ) by modifying learning rate and kernel function . and developed two fusion rules based on the magnitude of providing recognition information of each information sources
1)改进基本的kohonen神经网络(knn)学习率和核函数，并针对每个信息源对最终识别贡献的大小，提出加权与不加权两种融合规则。
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