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In order to overcome shortcomings of basic hidden markov model (HMM), a hybrid model of multi-layer perceptron (MLP) and continuous hidden markov model (CHMM) is presented which bases on basic HMM. In this hybrid mode, MLP calculates each state’s output probability instead of CHMM. The main purpose of this model is to improve the recognition ratio of CHMM by means of the strong of MLP’s nonlinear...
This investigation presents a numerical model and air bearing simulations of a femto-type slider flying over bit patterned media. It analyzes the characteristics of the air bearing pressure profile and the air bearing pressure gradient over the bit patterned area. The effect of the dimensions of the bit pattern on the flying characteristics of a typical femto-type slider is studied.
The permanent magnet synchronous motor (PMSM) is a dynamic, multi-variable and non-linear system, and the conventional PID control method is very difficult to meet the requirement for high accuracy control. This paper presents an approach of control for PMSM servo system using fuzzy radius basis function (f-RBF) neural network which has the advantages of strong adaptive ability and nonlinear approximation...
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