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|a eng
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|b الجزائر
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|9 564450
|a Ncibi, Kais
|e Author
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245 |
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|a A New Hybrid Expansion Function Based Mutual Information for a Multilayer Neural Networks Optimization
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260 |
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|b جامعة العربي بن مهيدي أم البواقي - كلية العلوم الاقتصادية والعلوم التجارية وعلوم التسيير و مخبر الابتكار والهندسة المالية
|c 2017
|g ديسمبر
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300 |
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|a 7 - 23
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|a بحوث ومقالات
|b Article
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|b Function expansion was used to expand initial features based on a non linear transformation. Many known expansion functions are found such the trigonometric, the polynomial, the Legendre polynomial, the power series, the exponential and the logarithmic transformation. This paper present a comparison between different expansion functions based on mutual information and different performance functions. We propose a new expansion process able to improve the correspondent mutual information and the final performance. The process was tested; using different benchmark databases, and shows his ability to improve results of classification problems.
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653 |
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|a الأداء الوظيفي
|a الشبكات العصبية
|a التكنولوجيا الهجينة
|a شركات الاتصالات
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692 |
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|b Function Expansion
|b Multilayer Perceptron
|b Classification
|b Mutual Information
|b Features Selection
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700 |
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|9 456245
|a Djenina, Amor
|e Co-Author
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700 |
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|a Sadraoui, Tarek
|e Co-Author
|9 564443
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700 |
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|9 564452
|a Mili, Faycel
|e Co-Author
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773 |
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|4 إدارة الأعمال
|6 Business
|c 003
|e Journal Of Finance & Corporate Governance
|f Journal of finance & corporate governance
|l 002
|m مج1, ع2
|o 2116
|s مجلة المالية وحوكمة الشركات
|v 001
|x 2602-5655
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856 |
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|u 2116-001-002-003.pdf
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930 |
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|d y
|p y
|q n
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|a EcoLink
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|c 1041688
|d 1041688
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