neural network based trajectory planning

... neural network. Simulations are performed to evaluate the performance of the trajectory planning method and the control procedure. Index terms-flexible manipulator, neural network, trajectory ... desired position because of link deflections and vibrations. In this study, a neural network based trajectory planning method is applied to calculate modifications in th...

Ngày tải lên: 28/04/2014, 10:16

... FOR N EURAL N ETWORK Neural- network- based SVM for a two-level inverter has been described in the literature [2], [3]. It will now be extended to a 0093-9994/02$17.00 © 2002 IEEE MONDAL et al.: A NEURAL- NETWORK- BASED ... Neural- network- based SVM. (b) Equivalent DSP -based SVM. Fig. 11. Machine line voltage and phase current waves in mode 2 (40 Hz). (a) Neural- network- ba...

Ngày tải lên: 22/12/2013, 08:16

... tested this hy- pothesis by using a separate neural network to ar- bitrate among multiple detection networks. It was found that the neural network- based arbitrationpro- duces results comparable ... Kanade tk@cs.cmu.edu http://www.cs.cmu.edu/˜tk Abstract We present a neural network- based face detection system. A retinally connected neural network ex- amines small windows of...

Ngày tải lên: 28/04/2014, 09:58

... recognition using artificial neural network group -based adaptive tolerance (GAT) trees. IEEE Transactions on Neural Networks, 7(3):555–567, 1996. 13 Rotation Invariant Neural Network- Based Face Detection Henry ... recognition/detection by probabilis- tic decision -based neural network. IEEE Transactions on Neural Networks, Special Issue on Artificial Neural Networks and Pa...

Ngày tải lên: 28/04/2014, 09:58

... output units. Each neural network had only 2 units in the output layer, in other words, each neural network was dedicated to recognize one letter. The hidden units of these networks were all set ... algorithm was employed as a common training algorithm. The networks used were feed-forward neural networks. There was only one hidden layer for all kinds of networks in this research. Th...

Ngày tải lên: 28/04/2014, 10:10

... OER: overall error rate (FAR + FRR). A. Linear Network Development Linear networks are NNs with no hidden layers or nodes. Despite limitations, these networks provide a use- ful benchmark against ... signatures much better than linear networks. The result is a lower OER and a more pro- nounced convergence than was achieved with the linear network (in terms of training the network, see Fi...

Ngày tải lên: 28/04/2014, 10:11

... on neural network based classification. Then we summarize the classification problems, occurring when dealing with signatures, and propose solutions for them. In this paper a complete neural ... Neural Networks (NN), offline, Signature Recognition, etc. I. INTRODUCTION : The aim of off-line signature verification is to decide, whether a signature originates from a given sig...

Ngày tải lên: 28/04/2014, 10:11

Ngày tải lên: 28/04/2014, 10:16

Ngày tải lên: 24/04/2014, 12:35

... into responsive class using a Neural Network called Sub Neural Network (SNN) of MANN. Lastly, we use MANN’s global frame (GF) consisting some Component Neural Network (CNN) to compose the classified ... reliability coefficients. Our model links many Neural Networks together, so we call it Multi Artificial Neural Network (MANN). 3 Multi Artificial Neural Network apply...

Ngày tải lên: 28/04/2014, 10:06