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PI Stabilization for Congestion Control of AQM Routers with Tuning Parameter Optimization
In this paper, we consider the problem of stabilizing network using a new proportional- integral (PI) based congestion controller in active queue management (AQM) router; with appropriate model approximation in the first ...
A Social-Spider Optimization Approach for Support Vector Machines Parameters Tuning
(Ieee, 2014-01-01)
The choice of hyper-parameters in Support Vector Machines (SVM)-based learning is a crucial task, since different values may degrade its performance, as well as can increase the computational burden. In this paper, we ...
A social-spider optimization approach for support vector machines parameters tuning
(2015-01-01)
The choice of hyper-parameters in Support Vector Machines (SVM)-based learning is a crucial task, since different values may degrade its performance, as well as can increase the computational burden. In this paper, we ...
Fine-tuning restricted Boltzmann machines using quaternions and its application for spam detection
(2019-05-01)
Restricted Boltzmann Machines (RBMs) have been used in a number of applications, but only a few works have addressed them in the context of information security. However, such models have their performance severely affected ...
Enhanced magnetocaloric effect tuning efficiency in Ni-Mn-Sn alloy ribbons
(Elsevier B.V., 2017)
Enhanced magnetocaloric effect tuning efficiency in Ni-Mn-Sn alloy ribbons
(Elsevier B.V., 2017)
Statistical tuning of Adaptive-Weight Depth Map Algorithm
(Springer Berlin Heidelberg, 2011)
In depth map generation, the settings of the algorithm parameters to yield an accurate disparity estimation are usually chosen empirically or based on unplanned experiments -- A systematic statistical approach including ...
Desenvolvimento de um supervisório para a sintonia de um controlador de vazão do tipo PID
(Universidade Federal do Rio Grande do NorteBrasilUFRNEngenharia MecatrônicaEngenharia de Computação e Automação, 2022-07-08)
The main objective of this term paper is the development of a
supervisory to perform tuning of a flow PID controller, automatically, reducing the
time to find the controller parameters and facilitating the whole process. ...
Fine-Tuning Convolutional Neural Networks Using Harmony Search
(Springer, 2015-01-01)
Deep learning-based approaches have been paramount in the last years, mainly due to their outstanding results in several application domains, that range from face and object recognition to handwritten digits identification. ...
Fine-tuning Deep Belief Networks using Harmony Search
(2016-09-01)
In this paper, we deal with the problem of Deep Belief Networks (DBNs) parameters fine-tuning by means of a fast meta-heuristic approach named Harmony Search (HS). Although such deep learning-based technique has been widely ...