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1-10 of 10 reviews |
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Paraconsistency properties in degree-preserving fuzzy logics
Ertola R., Esteva F., Flaminio T., Godo L., Noguera C. Soft Computing 19(3): 531-546, 2015. Type: Article
Logic, in its many shapes and forms, is indispensible when proving rigorously that any computational situation in question does or does not possess some desirable property in question. Two particular types of logic are fuzzy logic and ...
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Apr 16 2015 |
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k-top scoring pair algorithm for feature selection in SVM with applications to microarray data classification
Yoon S., Kim S. Soft Computing 14(2): 151-159, 2009. Type: Article
The classification of gene data is one of the most interesting areas in biomedical signal processing. The efficiency of the classification algorithm depends mainly on feature extraction, feature selection, and the classification mechan...
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Mar 1 2010 |
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Genetic hybrid tuning of VARMAX and state space algorithms
Östermark R. Soft Computing 14(1): 91-99, 2009. Type: Article
The journal in which this paper was published focuses on artificial intelligence (AI), hybrid and evolutionary systems, neural nets, and other soft computing techniques and applications. Although the paper deals with the proposition of...
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Dec 10 2009 |
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A genetic approach for downlink packet scheduling in HSDPA system
Abedi S., Vadgama S. Soft Computing 9(2): 116-127, 2005. Type: Article
This paper considers the downlink scheduling issue in the Third Generation Partnership Project. It applies a genetic algorithm to look for the optimal solution. A fitness function is formulated to include various metrics of quality of ...
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Jan 29 2008 |
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Input-dependent neural network trained by real-coded genetic algorithm and its industrial applications
Ling S., Leung F., Lam H. Soft Computing 11(11): 1033-1052, 2007. Type: Article
Neural networks (NNs) map input to output using neuron elements inspired by the human nervous system. Conventionally, the parameters of the networks are fixed after the training process, independent of the input data....
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Jan 11 2008 |
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A new kind of fuzzy regression modeling and its combination with fuzzy inference
Alex R. Soft Computing 10(7): 618-622, 2006. Type: Article
The development of prediction models for simultaneously using quantitative and qualitative data to forecast or explain the variance of a criterion variable is an intricate problem. The principles and applications of regression models e...
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Nov 14 2007 |
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Faster convergence by means of fitness estimation
Branke J., Schmidt C. Soft Computing 9(1): 13-20, 2005. Type: Article
Improving the speed of evolutionary algorithms is an important task when such an approach is used to solve real-world problems. The authors describe a local-oriented model based on interpolation or regression to determine the individua...
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Apr 12 2007 |
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A comprehensive survey of fitness approximation in evolutionary computation
Jin Y. Soft Computing 9(1): 3-12, 2005. Type: Article
In recent years, there has been increased interest in stochastic and evolutionary algorithms, which have proven their efficiency in solving hard instances of combinatorial problems in a reasonable time, when classical techniques (branc...
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Aug 10 2006 |
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Modifiers based on some t-norms in fuzzy logic
Mattila J. Soft Computing 8(10): 663-667, 2004. Type: Article
As Zadeh already stressed in his seminal paper [1], one of the problems with fuzzy logic is that we do not have really convincing arguments concerning the “right choice” of operations on the membership degre...
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Sep 20 2005 |
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What a machine should know about philosophical problems?
Airaksinen T. Soft Computing 8(10): 650-656, 2004. Type: Article
To be fair, I would like to point out that this paper does make a few interesting points. The one I found most compelling was the asymmetry in the machine intelligence versus human intelligence debate. A typical interpretation of the T...
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Jun 1 2005 |
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