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1. 
Integration of Swarm Intelligence and Artificial Neural Network. için kapak resmi
Integration of Swarm Intelligence and Artificial Neural Network.
Integration of Swarm Intelligence and Artificial Neural Network.
by 
Dehuri, Satchidananda.
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Format: 
Elektronik Kaynak
Alıntı: 
Integration of Swarm Intelligence and Artificial Neural Network. Dehuri, Satchidananda.
2. 
Approximation Methods for Efficient Learning of Bayesian Networks. için kapak resmi
Approximation Methods for Efficient Learning of Bayesian Networks.
Approximation Methods for Efficient Learning of Bayesian Networks.
by 
Riggelsen, C.
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Format: 
Elektronik Kaynak
Alıntı: 
Frontiers in Artificial Intelligence and Applications
3. 
Hybrid Methods in Pattern Recognition. için kapak resmi
Hybrid Methods in Pattern Recognition.
Hybrid Methods in Pattern Recognition.
by 
Bunke, H.
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Format: 
Elektronik Kaynak
Alıntı: 
Series in Machine Perception and Artificial Intelligence ;
4. 
Fuzzy Neural Network Theory and Application. için kapak resmi
Fuzzy Neural Network Theory and Application.
Fuzzy Neural Network Theory and Application.
by 
Liu, Puyin.
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Format: 
Elektronik Kaynak
Alıntı: 
Series in Machine Perception and Artificial Intelligence ;
8. 
Focus on Artificial Neural Networks. için kapak resmi
Focus on Artificial Neural Networks.
Focus on Artificial Neural Networks.
by 
Flores, John A.
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Format: 
Elektronik Kaynak
Alıntı: 
Artificial intelligence.
9. 
A Language modeling approach to detect bias için kapak resmi
A Language modeling approach to detect bias
A Language modeling approach to detect bias
by 
Atik, Ceren, author.
Access to Electronic Versiyon.
Format: 
El Yazması
Alıntı: 
Artificial intelligence -- Social aspects.
11. 
Intelligence Emerging : Adaptivity and Search in Evolving Neural Systems. için kapak resmi
Intelligence Emerging : Adaptivity and Search in Evolving Neural Systems.
Intelligence Emerging : Adaptivity and Search in Evolving Neural Systems.
by 
Downing, Keith L.
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Format: 
Elektronik Kaynak
Alıntı: 
evolutionary biology, neuroscience, and artificial intelligence.
12. 
Prediction of energy consumption of residential buildings by artificial neural networks and fuzzy logic için kapak resmi
Prediction of energy consumption of residential buildings by artificial neural networks and fuzzy logic
Prediction of energy consumption of residential buildings by artificial neural networks and fuzzy logic
by 
Turhan, Cihan.
Access to Electronic Versiyon.
Format: 
El Yazması
Alıntı: 
over estimated. The aim of this thesis is to create simple models based on artificial intelligence
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