SOFM

常見(jiàn)例句

• An image fusion binarization method based on Selforganization Feature Map(SOFM) neural network is presented.
  提出了一種基于自組織特征映射(SOFM)神經(jīng)網(wǎng)絡(luò)的圖像融合二值化方法。
• An autonomous star pattern recognition method using the tri-star clustering function of SOFM (Self-Organizing Feature Maps) network is described.
  介紹了一種利用SOFM(自組織特征映射)網(wǎng)絡(luò)的聚類(lèi)功能進(jìn)行全天星圖識(shí)別的算法。
• Experiment results show that，compared with LBG algorithm，modified SOFM algorithm can greatly improve the synthesized speech quality in the aspect of subjective and objective.
  實(shí)驗(yàn)表明，與傳統(tǒng)LBG算法比較，采用SOFM神經(jīng)網(wǎng)絡(luò)訓(xùn)練的碼書(shū)其合成語(yǔ)音的主、客觀質(zhì)量均有較大提高。
• The results indicate that the accuracy of identification is high and the SOFM network can be used in lithological identification of logging data, which has good prospects.
  結(jié)果表明，識(shí)別的準(zhǔn)確率較高，證明SOFM網(wǎng)絡(luò)可以用于解決測(cè)井巖性識(shí)別問(wèn)題，具有很好的應(yīng)用前景。
• Then an example is used to show how to build up an SOFM network model for logging lithological identification and its application to logging lithological identification.
  在說(shuō)明SOFM網(wǎng)絡(luò)的模型和算法的基礎(chǔ)上，結(jié)合某地的實(shí)際測(cè)井資料，建立SOFM網(wǎng)絡(luò)巖性識(shí)別模型，進(jìn)行巖性識(shí)別的應(yīng)用研究。
• Using the designing principle of the best vector quantizer, an improved Self-Organizing Feature Mapping (SOFM) algorithm is used in constructuring codebook.
  采用最優(yōu)矢量量化器設(shè)計(jì)原則，使用改進(jìn)的自組織特征映射算法生成碼書(shū)。
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