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    A new algorithm for optimization of distillation columns 

    Type: Conference Paper
    Author : Tabari, A; Kasiri, N
    Request PDF

    Scale-invariant line descriptors for wide baseline matching 

    Type: Conference Paper
    Author : Verhagen, B. , Timofte, R. , Van Gool, L.
    Publisher: IEEE
    Year: 2014

    External grounding design to reduce effects of lightning damage in distribution system 

    Type: Conference Paper
    Publisher: IEEE
    Year: 2014

    A survey on networked control systems subject to limited network resources 

    Type: Conference Paper
    Author : Guo Cancan , Peng Chen , Zhang Jin , Peng Dacheng
    Publisher: IEEE
    Year: 2014

    Improvement of the performance of the Quantum-inspired Evolutionary Algorithms: structures, population, operators 

    Type: Journal Paper
    Author : Mohammad H. Tayarani-N; محمدرضا اکبرزاده توتونچی; Mohammad Reza Akbarzadeh Totonchi
    Year: 2014
    Abstract:

    Population diversity is very important in giving the algorithm the power to explore the search space and not get trapped in local optima. In this respect, using a probabilistic representation for the quantum individuals, ...

    Comparative analysis of time synchronization schemes for wireless sensor networks 

    Type: Conference Paper
    Author : Kashyap, D. , Jain, T.K.
    Publisher: IEEE
    Year: 2014

    To Celigny, in the footprints of vilfredo pareto's "optimum" [Historical Corner] 

    Type: Journal Paper
    Author : Pelosi, Giuseppe; Selleri, Stefano
    Publisher: IEEE
    Year: 2014

    Transport-SDN: Enabling next-generation transport networks 

    Type: Conference Paper
    Author : Liu, G.N.
    Publisher: IEEE
    Year: 2014

    A New Correntropy-Based Conjugate Gradient Backpropagation Algorithm for Improving Training in Neural Networks 

    Type: Journal Paper
    Author : احمدرضا هروی; قوشه عابدهدتنی; ahmad reza heravi; Ghosheh Abed Hodtani
    Year: 2018
    Abstract:

    Mean square error (MSE) is the most prominent criterion in training neural networks and has been employed in numerous learning problems. In this paper, we suggest a group of novel robust information theoretic backpropagation ...

    A New Robust Correntropy Based Levenberg- Marquardt Algorithm 

    Type: Conference Paper
    Author : احمدرضا هروی; قوشه عابدهدتنی; ahmad reza heravi; Ghosheh Abed Hodtani
    Year: 2016
    Abstract:

    Recently, there has been much interest in

    information theoretic learning (ITL) criteria, widely used in

    several applications with different robust algorithms. Dealing

    with the rate convergence of the ...

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