Journal
NEURAL COMPUTING & APPLICATIONS
Volume 19, Issue 1, Pages 85-90Publisher
SPRINGER
DOI: 10.1007/s00521-009-0259-x
Keywords
Neurofuzzy modeling of nonlinear processes; Laser materials processing applications; Surface heat treatments; Process monitoring and control
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This paper introduces a new ANFIS adaptive neurofuzzy inference model for laser surface heat treatments based on the Green's function. Due to its high versatility, efficiency and low simulation time, this model is suitable not only for the analysis and design of control systems, but also for the development of an expert real time supervision system that would allow detecting and preventing any failure during the treatment.
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