Approximate Controllability of Fractional Neutral Stochastic Functional Integro-Differential Inclusions with Infinite Delay

Guendouzi, Toufik; Bousmaha, Lamia

doi:10.1007/s12346-014-0107-y

Cited by 39 publications

(26 citation statements)

References 28 publications

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“…-D (1) : (8,25,8,8,8,15,18,52,77,28,13,15,31,15,36,57,28,8,10,13,8) -D (2) : (5,5,5,8,12,25,30,25,30,40,40,45,20,30,25,15,15,30,20,20,25) Table 4 compares its performance in terms of f max and execution time with the AFF1 one whose computations have been performed on a DEC ALPHA station. [1].…”

Section: Implementation and Performance Evaluationmentioning

confidence: 99%

“…For prediction purpose, NN neither requires any stationary nature nor statistical information of datasets [15]. After that, RBFNs [11] have a number of advantages over other types of NNs and these include better approximation capabilities, simpler network structures and faster learning algorithms [28]. Alternatively, the SOM is constructed based on the competitor networks where inhibitory and exhibitory effects of neurons on each other provide the learning infrastructure [20].…”

Section: Literature Reviewmentioning

confidence: 99%

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Intelligent Information and Database Systems

2015

Lecture Notes in Computer Science

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Abstract. Discovering the research communities to bring techniques to the world is an interesting topic. In this paper we use the DBLP data to investigate the co-author relationship in a real bibliographic network and predict the interactions between co-authors. We analysis the research trend of authors and conferences based on extracted keywords from paper titles. We can understand research fields and change of research trend to find appropriate co-authors and conferences to submit our work. We also find potential co-authors for an existing author in DBLP data by using a variety of similarity measures and a random walk model. It can be useful for building a recommendation system.

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Section: Implementation and Performance Evaluationmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Intelligent Information and Database Systems

2015

Lecture Notes in Computer Science

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“…As of late, it has been demonstrated that the differential designs including derivatives of fractional order emerge in numerous technological innovations and scientific disciplines as the statistical modeling of frameworks and procedures in numerous fields-case in point: physical science, chemical industry, aerodynamics, electrodynamics of complex medium, etc. For information, such as some uses and latest outcomes, think about the treatise of Abbas et al [1], Baleanu et al [2], Podlubny [3], Diethelm [4], Kilbas et al [5], and Tarasov [6], and the papers [7][8][9][10][11][12][13][14][15][16][17][18][19][20][21], and the references cited therein.…”

Section: Introductionmentioning

confidence: 99%

Existence of Mild Solutions for Impulsive Fractional Integro-Differential Inclusions with State-Dependent Delay

Suganya

Arjunan

2017

Mathematics

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“…Yan and Lu [40] established the sufficient conditions for the approximate controllability of fractional stochastic neutral integro-differential inclusions with infinite delay in Hilbert spaces by using the fixed point theorem for discontinuous multi-valued operators due to Dhage with the a-resolvent operator. Recently Guendouzi and Bousmaha [13] investigated the approximate controllability of fractional neutral stochastic functional integro-differential inclusions with infinite delay involving the Caputo derivative in Hilbert spaces.…”

Section: Introductionmentioning

confidence: 99%