learning rate造句
例句與造句
- these include differences in learning rates
這包括閱讀速度不同。 - dynamic fuzzy-neural and its fast adaptive learning rate
動態(tài)模糊神經(jīng)網(wǎng)絡(luò)及其快速自調(diào)整學(xué)習(xí)算法 - a decimal genetic algorithm ( ga ) is used to optimize the neuron's learning rate
為了對神經(jīng)元的學(xué)習(xí)速率進(jìn)行優(yōu)化，采用了十進(jìn)制編碼的遺傳算法。 - the result proved, this technology was well, it lied in advantage about learning rate rapidity, classify nicety high
研究表明，該方法效果良好，學(xué)習(xí)速度快，分類準(zhǔn)確率高。 - in the training process, the adaptive learning rate and error batch-mode process are introduced to accelerate the training rate
在神經(jīng)網(wǎng)絡(luò)自學(xué)習(xí)過程中，引入了自適應(yīng)學(xué)習(xí)速率和誤差批處理法，加快了學(xué)習(xí)速度。 - It's difficult to find learning rate in a sentence. 用learning rate造句挺難的
- 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
促使孩子超常學(xué)習(xí)通常具有誘惑力，但這樣做有可能在孩子身上形成危險的失敗感的焦慮心理。 - in order to improve the learning rate of backpropagation neural network, levenberg-marquart algorithm was proposed to learning network optimized weight parameters
為了提高bp網(wǎng)絡(luò)的學(xué)習(xí)效率，本文將levenberg-marquart(l-m)算法引入到bp網(wǎng)絡(luò)中進(jìn)行網(wǎng)絡(luò)權(quán)值的學(xué)習(xí)。 - ann is trained through fast bp algorithm with variable learning rate that mixed with momentum factor . this algorithm can improve network's reliability
算法上采用含有動量因子的自適應(yīng)調(diào)整學(xué)習(xí)率的變學(xué)習(xí)率算法對網(wǎng)絡(luò)進(jìn)行學(xué)習(xí)訓(xùn)練，以提高網(wǎng)絡(luò)的學(xué)習(xí)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
摘要本研究采電腦模擬探討不同訓(xùn)練范例樣本數(shù)、學(xué)習(xí)速率及隱藏層個數(shù)對學(xué)習(xí)向量量化網(wǎng)路分類正確率之影響。 - 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
摘要本研究采計算機仿真探討不同訓(xùn)練示范樣本數(shù)、學(xué)習(xí)速率及隱藏層個數(shù)對學(xué)習(xí)矢量量化網(wǎng)絡(luò)分類正確率之影響。 - 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
為了克服bp網(wǎng)絡(luò)在學(xué)習(xí)訓(xùn)練過程中收斂速度慢、容易陷入局部極小的不足，本文采用了自適應(yīng)的學(xué)習(xí)速率和附加動量法。 - 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
算法上采用含有動量因子的自適應(yīng)調(diào)整學(xué)習(xí)率的變學(xué)習(xí)率算法或levenberg一marquardi優(yōu)化方法對網(wǎng)絡(luò)進(jìn)行訓(xùn)練，以提高網(wǎng)絡(luò)的收斂速度。 - 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
本文提出一種有教師的oja學(xué)習(xí)規(guī)則，并將這種規(guī)則引入了神經(jīng)元的自適應(yīng)學(xué)習(xí)中，分析了神經(jīng)元的學(xué)習(xí)速率對控制性能的影響。 - 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
重點研究內(nèi)容：(1)建立bp(backpropagation)神經(jīng)網(wǎng)絡(luò)用matlab提供的人工神經(jīng)網(wǎng)絡(luò)工具箱建立網(wǎng)絡(luò)，包括選擇各層間的傳遞函數(shù)、確定網(wǎng)絡(luò)訓(xùn)練誤差和學(xué)習(xí)速率等，為建立定價模型做準(zhǔn)備。 - 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)改進(jìn)基本的kohonen神經(jīng)網(wǎng)絡(luò)(knn)學(xué)習(xí)率和核函數(shù)，并針對每個信息源對最終識別貢獻(xiàn)的大小，提出加權(quán)與不加權(quán)兩種融合規(guī)則。
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