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1 The steam flow signal is feed forward signal.

2 Through simple feed forward operation, the new PWM technique can eliminate all low order harmonic voltage contained in input stage.

3 The control strategy possesses feed forward compensation ability for steam flowflow signal to neural network controller.

4 Then the principles of hierarchical estimation and feed forward compensation are applied to derive the power system state estimation and load frequency control equations.

5 By adopting the method of soft measurement with Feed forward neural network modeling, the black liquid Baume scale of pulping section in papermaking process has been measured.

6 The results show that feed forward fuzzy self-learning system have good effect on suppression of periodic forced vibration.

7 The inverter system adopts digital fuzzy controller with feed forward correction and which proportion coefficient and integral coefficient is changeable, so dynamic response is improved.

8 A new cascade feedback control system with load feed forward of reheat steam temperature paper.

9 The structure of a partially connected feed forward neural network and the training algorithm based on the recursive prediction error are constructed.

10 In open-loop utility voltage feed forward control, DVR(Dynamic Voltage Restorer) has fast dynamic response, but the load voltage is always greatly distorted by the load current.

11 The computer simulation model of the feed forward current decoupling vector control system based on flux observation is presented.

12 Applies feed forward neural network to the N QUEENs question, and sdves the local minimization question using a rapid learning algorithm with variable learning factors. Gives several research results.

13 In view of deficiency that DVR uses feed forward control method and PID control method to process voltage sag problem, the paper proposed a fuzzy PID control strategy.

14 A novel method for adaptive communication channel equalization based on a multi layer feed forward neural network training algorithm was proposed in this paper.

15 It suggests that different regulatory mechanisms might account for it and that under resting condition the feed forward regulation from HRV to SBPV might be unimportant.

16 The paper constructs a new optimal target function for feed forward neural networks according to convex optimization theory and constraint optimization theory.

17 The decay trend prediction model of mechanical equipment capability adopted single invisible layer feed forward network and chose the expansion speed of RBF,[www.Sentencedict.com] the network was established.

18 Simultaneousty, the parameters, hyper parameters and model parameters at the other levels keep unchanged to simplify the parameters estimation of Bayesian feed forward networks.

19 In order to solve the problem, the disturbance state observer and direct current control system with feed forward compensation are designed.

20 Proposing a new data encryption algorithm based on multilayer feed forward neural networks.

21 The other is combined of the fuzzy logic and feed forward neural network.

22 The mathematics model of parallel system with load current feed forward is deduced, which proves that the equivalent transfer function of parallel system is similar to that of the single inverter.

23 According to process parameters given by level 2 model, TCS system changes gap opening of vertical edging rolls to control strip width through feed forward and feedback technology.

24 The target function's optimal velocity is high, so it can boost learning efficiency of feed forward neural networks.

25 In order to compensate dynamic errors, this system is installed at the inlet and outlet part of mill for feed forward and feed back control.

26 A new slide mode controller is designed for AC servo system. The feed forward signal is used as average control, and fuzzy inference is used to regulate the magnitude of on-off control.

27 We promote the precision of control system by using Kalman filter to process the sample data and intensify the dynamic tracking properties by adding feed forward.

28 A new algorithm is presented for training of multilayer feed forward networks by integrating a genetic algorithm with an adaptive conjugate gradient neural network learning algorithm.

29 This kind of control scheme facilitates the global optimization of CCS. Fuzzy control is introduced into the feed forward loop of the boiler.