2007
DOI: 10.1134/s1061920807030090
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Explicit solutions of a certain class of differential equations by means of fractional calculus

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Cited by 4 publications
(3 citation statements)
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“…In addition to this, projection neural networks have emerged out as a promising tool in the field of fractional calculus also. Due to wide application in almost all branches of sciences, fractional differential equations have received remarkable attention in the field of mechanics, physics, chemistry, informatics, materials and several other applications [22,23]. To the best of our knowledge, very few results are available in literature for projection neural networks in the field of fractional calculus [24,25].…”
Section: Introductionmentioning
confidence: 99%
“…In addition to this, projection neural networks have emerged out as a promising tool in the field of fractional calculus also. Due to wide application in almost all branches of sciences, fractional differential equations have received remarkable attention in the field of mechanics, physics, chemistry, informatics, materials and several other applications [22,23]. To the best of our knowledge, very few results are available in literature for projection neural networks in the field of fractional calculus [24,25].…”
Section: Introductionmentioning
confidence: 99%
“…On the other hand, the study for solutions of fractional ordinary and partial differential equations has received great interest by scientists. Especially, in the last decade, there are noteworthy works on the analytical and numerical solutions of fractional partial differential equations see [21][22][23][24][25][26][27][28] and the references there in .…”
Section: Introductionmentioning
confidence: 99%
“…The main purpose of this section (and Section 7 below) is to follow rather closely and analogously the investigations in (for example) [16], [23], [53], [63] and [64] of solutions of some general families of second-order linear ordinary differential equations, which are associated with the familiar Bessel differential equation of general order ν (cf. [5], Vol.…”
Section: The Classical Gauss and Jacobi Differential Equations Revisitedmentioning
confidence: 99%