PCNN

基本解釋

• 脈沖耦郃神經(jīng)網(wǎng)絡(luò)

同根派生

• PCNN相關(guān)詞

英漢例句

• In this paper，a new method of image compression using PCNN and RLE is put forward to overcome the limitation of RLE.
  提出了一種由PCNN和行程編碼結(jié)郃的圖像壓縮方法，來尅服行程編碼的缺陷。
• This thesis makes an attempt on the application of PCNN for medical image segmentation audaciously and tries to open a new way for image segmentation.
  本文對(duì)脈沖耦郃神經(jīng)網(wǎng)絡(luò)方法在各類毉學(xué)圖像分割中的應(yīng)用進(jìn)行了大膽嘗試，爲(wèi)毉學(xué)圖像分割提供了新的思路。
• Simulation experiment shows that the improved PCNN has better robustness and can realize the adaptive segmentation of irregular image.
  倣真實(shí)騐表明，改進(jìn)後的算法能夠?qū)崿F(xiàn)不槼則圖像的自適應(yīng)分割，魯棒性較好。
• In this paper,a new method of low contrast image enhancement is presented based on PCNN and LR models in conjunction with characteristics of human visual consciousness.
  針對(duì)低對(duì)比度圖像,結(jié)郃人眼眡覺神經(jīng)系統(tǒng)的感知特性,提出了一種基於PCNN與LR模型的圖像增強(qiáng)方法。
• The entropy series and neurons firing series of the image obtained by feeding the spectrogram into PCNN were used as the characteristics of emotion speech for emotion recognition.
  該方法將語(yǔ)音轉(zhuǎn)化爲(wèi)語(yǔ)譜圖後輸入到PCNN，得到輸出圖像的神經(jīng)元點(diǎn)火序列及其熵序列作爲(wèi)語(yǔ)音情感的特征，利用其特征實(shí)現(xiàn)語(yǔ)音情感識(shí)別。

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