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Soft Computing Systems

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Soft Computing Systems refer to computational techniques that are tolerant of imprecision, uncertainty, and approximation. They encompass methodologies such as fuzzy logic, neural networks, and genetic algorithms, which are designed to solve complex problems that are difficult to address using traditional hard computing methods.
lightbulbAbout this topic
Soft Computing Systems refer to computational techniques that are tolerant of imprecision, uncertainty, and approximation. They encompass methodologies such as fuzzy logic, neural networks, and genetic algorithms, which are designed to solve complex problems that are difficult to address using traditional hard computing methods.
The article presents a newly advanced, novel and proficient symbiotic organism search optimization technique to resolve the stability problem of a power system. A two area reheat based thermal system is considered with the SOS tuned... more
This paper brings up a grid-connected photovoltaic (PV) interface from the combined use of quasi-Z source inverter (qZSI) and cascaded H-bridge (CHB) inverter. Controlling and modeling of a Z-Source quasi CHB Seven level Inverter has been... more
Application of Data Mining tasks over health care has gained much importance nowadays. Most of the Association Rule Mining techniques attempts to extract only the positive recurrent itemsets and pay less attention towards the negative... more
Voice transmission plays a crucial role in many applications such as e.g. telecommunications. An alternative to increase the efficiency of voice transmission is using a codification that permits compressing the signal to be transmitted.... more
A. Abraham el al.(Eds.) 231 Soft Computing Systems: Design, Management and Applications IOS Press, 2002 Towards a Unique Framework to Describe and Compare Diagnosis Approaches Cecilia H. ZANNI, Marc LE GOC, Claudia S ...... more
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