- 學習向量量化
- lvq learning vector quantization: 學習向量量化
- hvq hierarchical vector quantization: 分層矢量量化
- lvq lattice vector quantization: 點陣矢量量化
- vq vector quantization: 矢量量化，紋理壓縮（加速芯片的功能）; 紋理壓縮
- vqc vector quantization code: 矢量量子化代碼
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learning vector quantization中文什么意思
- 學習向量量化
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例句與用法
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- a stochastic competitive learning vector quantization algorithm for image coding
一種隨機競爭學習矢量量化圖像編碼算法 - 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練范例樣本數(shù)、學習速率及隱藏層個數(shù)對學習向量量化網(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練示范樣本數(shù)、學習速率及隱藏層個數(shù)對學習矢量量化網(wǎng)絡分類正確率之影響。 - this method combines a genetic algorithm with an artificial neural network classifier, such as back-propagation ( bp ) neural classifier, radial basis function ( rbf ) classifier or learning vector quantization ( lvq ) classifier
此方法結合基因演算法與類神經(jīng)分類器，如倒傳遞分類器、放射基底函數(shù)分類器以及學習矢量量化分類器。 - secondly, a multilayered neural network trained with a learning vector quantization ( lvq ) algorithm is applied to pattern recognition of manifestations of the pulse and the classification ability of lvq network is compared with traditional near neighbor algorithm
其次，本文根據(jù)脈圖的時域特征，采用學習矢量量化算法，訓練文中確立的神經(jīng)網(wǎng)絡分類器，用以實現(xiàn)對脈圖的識別。并比較了lvq神經(jīng)網(wǎng)絡分類器與傳統(tǒng)近鄰法的分類性能。
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