Semisupervised SVM Based on Cuckoo Search Algorithm and Its Application
المؤلفون المشاركون
Xia, Kewen
Aslam, Nelofar
Niu, Wenjia
He, Ziping
Hou, Jingzhong
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-09-13
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
Semisupervised support vector machine (S3VM) algorithm mainly depends on the predicted accuracy of unlabeled samples, if lots of misclassified unlabeled samples are added to the training will make the training model performance degrade.
Thus, the cuckoo search algorithm (CS) is used to optimize the S3VM which also enhances the model performance of S3VM.
Considering that the cuckoo search algorithm is limited to the local optimum problem, a new cuckoo search algorithm based on chaotic catfish effect optimization is proposed.
First, use the chaotic mechanism with high randomness to initialize the nest for range expansion.
Second, chaotic catfish nest is introduced into the effective competition coordination mechanism after falling into the local optimum, so that the candidate’s nest can jump out of the local optimal solution and accelerate the convergence ability.
In the experiment, results show that the improved cuckoo search algorithm is effective and better than the particle swarm optimization (PSO) algorithm and the cuckoo search algorithm on the benchmark functions.
In the end, the improved cuckoo search algorithm is used to optimize semisupervised SVM which is applied into oil layer recognition.
Results show that this optimization model is superior to the semisupervised SVM in terms of recognition rate and time.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
He, Ziping& Xia, Kewen& Niu, Wenjia& Aslam, Nelofar& Hou, Jingzhong. 2018. Semisupervised SVM Based on Cuckoo Search Algorithm and Its Application. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1209226
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
He, Ziping…[et al.]. Semisupervised SVM Based on Cuckoo Search Algorithm and Its Application. Mathematical Problems in Engineering No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1209226
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
He, Ziping& Xia, Kewen& Niu, Wenjia& Aslam, Nelofar& Hou, Jingzhong. Semisupervised SVM Based on Cuckoo Search Algorithm and Its Application. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1209226
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1209226
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر