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Advanced Functional Materials, EarlyView.Fe─NC porous oxygen reduction electrocatalysts are prepared employing a 2,4,6‐Triaminopyrimidine‐based porous organic polymer, a Mg2+ Lewis acid, and a low‐temperature cation exchange protocol. Using the polymer precursor achieves high pyrolysis yields and results in atomically dispersed FeNx sites. The resulting catalysts feature hierarchical porosity
Eliot Petitdemange +11 more
wiley +1 more source
Boolean Circuits in Colloidal Mixtures of ZnO and Proteinoids
ACS OmegaRaphael Fortulan +4 more
doaj +1 more source
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Soft Computing, 2001
The book presents a clear understanding of a new type of computation system, the Cellular Neural Network (CNN), which has been successfully applied to the solution of many heavy computation problems, mainly in the fields of image processing and complex partial differential equations. The text describes how CNN will improve the soft-computation toolbox,
XIBILIA, Maria Gabriella +5 more
+7 more sources
The book presents a clear understanding of a new type of computation system, the Cellular Neural Network (CNN), which has been successfully applied to the solution of many heavy computation problems, mainly in the fields of image processing and complex partial differential equations. The text describes how CNN will improve the soft-computation toolbox,
XIBILIA, Maria Gabriella +5 more
+7 more sources
Proceedings of 24th International Symposium on Multiple-Valued Logic (ISMVL'94), 2002
Soft computing stands for methods and techniques in fuzzy logic, probabilistic reasoning, neural networks, genetic algorithms, chaos or other approaches related to cognitive modeling. These overlapping domains can reinforce each other, thus offering suitable tools to represent and solve real world problems. Genetic algorithms and classifier systems are
openaire +1 more source
Soft computing stands for methods and techniques in fuzzy logic, probabilistic reasoning, neural networks, genetic algorithms, chaos or other approaches related to cognitive modeling. These overlapping domains can reinforce each other, thus offering suitable tools to represent and solve real world problems. Genetic algorithms and classifier systems are
openaire +1 more source
Soft Computing Techniques for Human-Computer Interaction
2010Soft computing aims at using tricks or shortcuts that do not provide optimal solutions but useful approximations that can be computed at a reasonable cost. Such approximations often come in the form of heuristics and “rules of thumb.” Computer vision relies heavily on heuristics, being a simple example the detection of faces by detecting skin color ...
Déniz, Oscar +5 more
openaire +2 more sources
2012
In this chapter, a brief introduction to different soft computing methods, namely, genetic algorithms, particle swarm optimization, bacterial foraging optimization, neural networks and support vector machine has been presented. The overall presentation is separated into sections like evolutionary algorithms, swarm intelligence based algorithms, and ...
N. C. Chauhan +2 more
openaire +1 more source
In this chapter, a brief introduction to different soft computing methods, namely, genetic algorithms, particle swarm optimization, bacterial foraging optimization, neural networks and support vector machine has been presented. The overall presentation is separated into sections like evolutionary algorithms, swarm intelligence based algorithms, and ...
N. C. Chauhan +2 more
openaire +1 more source
2016
Soft computing methods of modelling usually include fuzzy logics , neural computation , genetical algorithms and probabilistic deduction , with the addition of data mining and chaos theory in some cases. Unlike the traditional “hardcore methods” of modelling, these new methods allow for the gained results to be incomplete or inexact.
Esko Turunen, Kimmo Raivio, Timo Mantere
openaire +1 more source
Soft computing methods of modelling usually include fuzzy logics , neural computation , genetical algorithms and probabilistic deduction , with the addition of data mining and chaos theory in some cases. Unlike the traditional “hardcore methods” of modelling, these new methods allow for the gained results to be incomplete or inexact.
Esko Turunen, Kimmo Raivio, Timo Mantere
openaire +1 more source