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Titlebook: Computational Intelligence; Engineering of Hybri Mircea Gh. Negoita,Daniel Neagu,Vasile Palade Book 2005 Springer-Verlag Berlin Heidelberg

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,New Trends of Developing Hybrid Intelligent Systems – AIS Hybridization and DNA-Hybridization, performances. Two emerging and promising biologically inspired techniques seem to be the impulse of the moment in the field of ., namely: . . . .) and . computing. The computing framework featuring each of theses two above-mentioned techniques was enlarged by original and efficient hybridisation me
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https://doi.org/10.1007/b12051Computational Intelligence; Computer; DNA computing; Evolutionary Computation; Fuzzy; Fuzzy Systems; Hardw
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Application to Numerical Simulations,uch as speech/natural language understanding, robotics, medical diagnosis, fault diagnosis of industrial equipment, and financial applications (Kosko 1992; Lin and Lee 1991; Pedrycz 1993; da Rocha 1992; Sima and Cervenka 1997; Takagi 1994; Wermter and Sun 2000). The reason for studying hybrid neural
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https://doi.org/10.1007/978-3-540-47217-9could be reviewed, but this is beyond the topic of this book. We tried to introduce just some special original applications. On the other hand, this chapter will also be focused on some combined approaches which involve the main . techniques, but at the same time are both fundamental and with a very
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Generalized Langevin Equation and Anomaly, performances. Two emerging and promising biologically inspired techniques seem to be the impulse of the moment in the field of ., namely: . . . .) and . computing. The computing framework featuring each of theses two above-mentioned techniques was enlarged by original and efficient hybridisation me
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