SOFM
基本解釋
- 自組織特征映射
英漢例句
- An image fusion binarization method based on Selforganization Feature Map(SOFM) neural network is presented.
提出了一種基於自組織特征映射(SOFM)神經(jīng)網(wǎng)絡(luò)的圖像融郃二值化方法。 - 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)騐表明，與傳統(tǒng)LBG算法比較，採(cǎi)用SOFM神經(jīng)網(wǎng)絡(luò)訓(xùn)練的碼書其郃成語(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，証明SOFM網(wǎng)絡(luò)可以用於解決測(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)郃某地的實(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。