Title :
Application issues of industrial soft computing systems
Author_Institution :
Dept. of Material Sci., Dow Chem. Co., Freeport, TX, USA
Abstract :
An overview of the key technical, organizational, and political issues that need to be resolved for successful application of soft computing systems in industry is given in the paper. An integrated methodology with neural networks, support vector machines, and genetic programming is recommended. Several examples of successful soft computing applications in the chemical industry are given. The key explored application areas are inferential sensors, automated operating discipline, process emulators, accelerated new product development, and complex process optimization.
Keywords :
fuzzy logic; genetic algorithms; industries; neural nets; organisational aspects; politics; support vector machines; uncertainty handling; accelerated new product development; automated operating discipline; complex process optimization; genetic programming; industrial soft computing systems; inferential sensors; neural networks; organizational issues; political issues; process emulators; support vector machines; technical issues; Acceleration; Chemical industry; Chemical sensors; Computer applications; Computer industry; Genetic programming; Machinery production industries; Neural networks; Product development; Support vector machines;
Conference_Titel :
Fuzzy Information Processing Society, 2005. NAFIPS 2005. Annual Meeting of the North American
Print_ISBN :
0-7803-9187-X
DOI :
10.1109/NAFIPS.2005.1548517
