發(fā)布時間：2018-04-05 02:40

  本文選題：禽病　切入點：診斷　出處：《黑龍江畜牧獸醫(yī)》2017年03期

【摘要】：為了滿足基層養(yǎng)殖場對獸醫(yī)服務的需要,降低養(yǎng)殖場家禽發(fā)病率,研究采用B/S結構模式設計遺傳算法優(yōu)化的BP神經(jīng)網(wǎng)絡的禽病輔助診斷與管理信息系統(tǒng),應用Visual Basic.NET、Asp.NET開發(fā)語言與SQL Server 2008數(shù)據(jù)庫等實驗工具進行構建,采用遺傳算法優(yōu)化BP神經(jīng)網(wǎng)絡的推理機制進行疾病診斷專家系統(tǒng)的開發(fā),運用遺傳算法在全局空間上搜索權值和閾值的最優(yōu)解,再用BP算法在最優(yōu)點附近尋求最優(yōu)值。結果表明:在實際應用中,系統(tǒng)運行穩(wěn)定,誤診率低,可以提高養(yǎng)殖場管理效率,可用于進一步分析與挖掘養(yǎng)殖場生產(chǎn)數(shù)據(jù)中的潛在信息,提高利用效率。
[Abstract]:In order to meet the needs of the grass - roots farms to the veterinary services and reduce the incidence of poultry in the breeding farm , a B / S structure model is adopted to design the disease - aided diagnosis and management information system of the BP neural network , which is optimized by genetic algorithm . The optimal solution of the weight and threshold value is searched by using genetic algorithm . The results show that the system is stable in operation , low in error rate , and can improve the management efficiency of the breeding farm , and can be used for further analyzing and mining the potential information in the production data of the breeding farm and improving the utilization efficiency .

【作者單位】： 東北農(nóng)業(yè)大學動物醫(yī)學學院臨床獸醫(yī)系;
【基金】：“十二五”農(nóng)村領域國家科技計劃課題(2015BAD12B05)
【分類號】：TP18;S858.3

【參考文獻】

相關期刊論文 前10條

1 唐立力;呂福起;;基于遺傳算法的BP神經(jīng)網(wǎng)絡滾動軸承故障診斷[J];機械設計與制造工程;2015年03期

2 張會敏;葉明全;孟婷瑋;陳sブ，

本文編號：1712865