Results 1 to 10 of about 14,483 (309)
Merging Sub-symbolic and Symbolic Computation
, 2007 . In a recent short paper and a report (see [Neto et al. 98] and [Neto and Costa 99]) it was shown that programming languages can be translated efficiently on recurrent (analog, rational weighted) neural nets, using bounded resources.
J. Félix Costa +2 more
core
Symbolic Computation (An Editorial)
, 1985 The short description given below of the scope, goal, and structure of the Journal of Symbolic Computation is the result of intensive discussions among the persons involved in initiating this journal, The editors will use it as a guide for the ...
core +2 more sources
BioData MiningSequence-based analysis and prediction form a cornerstone of bioinformatics investigations of the sequence-structure-function paradigm across DNA, RNA, and proteins.
Xin Feng +10 more
doaj +1 more source
Special Focus on Advances in Symbolic and Numeric Computation IV
, 2022 This Special Focus on Advances in Symbolic and Numeric Computation IV of Mathematics in Computer Science (MCS) edited by Amélia Loja, Mourad Bezzeghoud, Joaquim Infante Barbosa and José Alberto Rodrigues is organized in connection with the 5th ...
Bezzeghoud, M. +3 more
core
用Symbolic Computation计算毛细重力波六阶解
, 1988 本文首先运用Symbolic Computation在半物理平面(x,)上计算了毛细重力波的六阶解,得到了波形与色散关系,低阶解与 Hogan ...
李家春
core
Symbolic computation of variational symmetries in optimal control
, 2006 We use a computer algebra system to compute, in an efficient way, optimal control variational symmetries up to a gauge term. The symmetries are then used to obtain families of Noether's first integrals, possibly in the presence of nonconservative ...
André Gomes-dos-Santos +17 more
core +1 more source
Symbolic Computation in System Simulation and Design
, 1995 This paper examines some of the roles that symbolic computation plays in assisting system-level simulation and design. By symbolic computation, we mean programs like Mathematica that perform symbolic algebra and apply transformation rules based on ...
Asawaree Kalavade +3 more
core
Symbolic Computation: Recent Progress and New Frontiers [PDF]
, 2002 Colloque sur invitation. internationale.International audienceSymbolic computation and computer algebra systems are usually known to be either very slow, or memory expensive.
Zimmermann, Paul
core
Symbolic Computation in Deep Neural Networks
, 2022 Studying symbolic computation in deep neural networks (DNNs) is essential for improving their explainability and generalizability. Whether DNNs can conduct symbolic computation is a long-standing topic of controversy.
Guo, Yujia
core