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hop field 蛇麻草田。

hop fiend

Output can be obtain , next we use our designed the wavelet soft threshold to select result of the wavelet transform , finally , we give the selected result reversal wavelet transform . it is obvious : the wavelet soft threshold is important to improve the quality of the gray image processing . . i give the donoho wavelet soft threshold a modified value method , which has a relation with ratio of signal - noise . i made full use of discrete hop field single feedback neural network , and nonlinear steady of automatic system at last , i obtained a steady limited ring , give the energy function an order differential a optimal 我的思路是:改造現有圖形結構,先建立能反映信噪比大小且含待定參數k的表達式,然后通過離散型h0pfi舊單層反饋神經網絡,再結合前邊的混合濾波器構成一個非線性控制系統,寫出對應的網絡函數,利用相平面法和李雅普諾大穩定性的判據,得到一個穩定的極限環,從而確定出參數卜的范圍,進而再對原來的小波軟閾值進行修正,用修正后的值作為小波閾值。

Firstly , we find the resources in the breadth first search way , at the mean time , hop field is generated , and then , we schedule the resources according to the hop field 本文提出一種新型的網格資源調度算法最小跳數算法,首先通過廣度搜索遍歷找到資源,并同時生成跳數場,再根據跳數調度資源。