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“”. Materials and Methods section now includes details for measuring uptake of isotope and assaying concentration of HAT media(page12 paragraph 2)was incorrectly stated in the original has been authors are grateful to the referees for pointing out their suggested by both referees, a discussion of the possibility of laser action on chromosome has been included(page16, paragraph 2). included a new set of photographs with better definition than those originally submitted and to which a scale has been the suggestion of the referees, we have redraw Figure 3 and further papers, published since our original submission, have been added to the text and Reference are: should like to thank the referees for their helpful ments and hope that we have now produced a more balance and better account of our trust that the revised manuscript is acceptable for greatly appreciate both your help and that of the referees concerning improvement to this hope that the revised manuscript is now suitable for should like to express my appreciation to you and the referees for suggesting how to improve our apologize for the delay in revising the was due to our doing an additional experiment, as suggested by referees第四篇:Dear Anderson 怎樣寫英文退貨信?Dear Anderson:Subject:Incorrect Delivery of Air ConditionersThank you for your prompt consignment, which arrived this ,after careful examination, we found that you had made a mistake with the ordered 25 sets of Model A and 25 sets of Model you delivered 15 sets of Model A and 35 sets of Model will appreciate it if you e and replace the items we don’t know you can understand it is an urgent matter of us in the corner of yours,Linda Wang第五篇:投稿信投 稿 信尊敬的編輯先生/女士:您好!本人受所有作者委托,在此提交完整的論文《 基于改進粒子群優(yōu)化算法和混沌神經(jīng)網(wǎng)絡(luò)的電力系統(tǒng)負荷預測》,希望能夠在《電網(wǎng)技術(shù)》雜志發(fā)表,并且代表所有作者鄭重申明:(1)關(guān)于該論文,所有作者均已通讀并同意投往貴刊,對作者排序沒有異議,不存在利益沖突及署名糾紛;(2)論文成果屬于原創(chuàng),享有自主知識產(chǎn)權(quán),不涉及保密問題;(3)相關(guān)內(nèi)容未曾以任何語種在國內(nèi)外公開發(fā)表過,沒有一稿多投行為;(4)今后關(guān)于論文內(nèi)容及作者的任何修改,均由本人負責通知其他作者知曉。本人對上述各項負完全責任。論文的主要內(nèi)容簡介:本文提出了一種基于改進粒子群算法和混沌神經(jīng)網(wǎng)絡(luò)相結(jié)合的電力系統(tǒng)負荷預測的方法。針對傳統(tǒng)的粒子群算法精度低、易發(fā)散等缺點,同時采用線性遞減慣性權(quán)重和壓縮因子,結(jié)合遺傳算法交叉變異對其進行改進。利用粒子群優(yōu)化算法優(yōu)化出混沌神經(jīng)網(wǎng)絡(luò)的權(quán)值和閾值,然后利用得到的權(quán)值和閾值,對輸入神經(jīng)網(wǎng)絡(luò)的負荷值進行預測,得到預測日的相應時刻負荷值。最后通過實際應用,采用MATLAB編程實現(xiàn)預測模型,證明該方法有較高的預測精度和較好的準確性,具備一定的實際應用價值。本論文的創(chuàng)新點在于:(1)提出了一種改進粒子群算法和混沌神經(jīng)網(wǎng)絡(luò)相結(jié)合的負荷預測方法;(2)同時采用線性遞減慣性權(quán)重和壓縮因子,結(jié)合遺傳算法交叉變異對傳統(tǒng)的粒子群算法進行改進,克服了其精度低、易發(fā)散等缺點;(3)利用混沌神經(jīng)網(wǎng)絡(luò)對日負荷進行預測,采用MATLAB仿真實現(xiàn)。鑒于論文的內(nèi)容。(論文的內(nèi)容負荷貴刊物的要求,并且論文的研究成果具有一定的應用價值。)下面是推薦的幾個審稿專家,謹供參考。1)姓名,Email:。2)姓名,Email:。非常感謝您審閱本論文,期待早日收到專家的審查意見。若對于本論文有任何疑問,請及時與我聯(lián)系。遵照《中華人民共和國著作權(quán)法》,作者同意將該文版權(quán)(含各種介質(zhì)的版權(quán))轉(zhuǎn)讓給《電網(wǎng)技術(shù)》編輯部。編輯部一次性向作者付清稿酬。此致敬禮!投稿人:王冰山身份證號: ***831 所有作者姓名: 王冰山 出生年 :1988 學歷 :碩士研究生 職稱:無研究方向: 電力系統(tǒng)自動化及計算機信息處理、分布式電源等聯(lián)系電話:*** Email:wbshan1216@,