a neural network model for limb trajectory formation

... coordinate- transformation problem and proposed an iterative control learning algorithm. Our research dealt with a sensory-motor transformation based on a non- hierarchical layered architecture ... strategy remains basically the same in both intact and spinal animals. This result suggests that the basic motor programs for this particular task are generated at the spinal cord lev...

Ngày tải lên: 28/04/2014, 10:16

... 1996– 1998 was used as training data and data from the year 1999 as model validation data. This approach was computationally expensive due to long training times of NN models. However, it was utilised ... the forecasting point) of a forecasted pollutant, given an input vector containing earlier air quality measurements at T+0 h and weather observations at T+24 h (simulating a weather fo...

Ngày tải lên: 17/02/2014, 22:20

... INeuronStrategy, called BackPropNeuronStrategy (for a backward propagation neural network) . A Neural Network is initialized and connections betweens layers are made by a neural network factory. A Factory should ... section explains how the training takes place, in a back ward propagation neural network. In a backward propagation neural network, there are several...

Ngày tải lên: 28/04/2014, 10:10

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Ngày tải lên: 28/04/2014, 10:16

... Therefore, it appears logical that a feedforward backpropagation-type ANN which has high computational capability can implement an SVM algorithm. Note that the ANN has inherent learning capability ... undermodulation range. A simulated DSP-based modulator generates the data which are used to train the network by a backpropagation algorithm in the MATLAB Neural Network Toolbox. The...

Ngày tải lên: 22/12/2013, 08:16

Ngày tải lên: 03/01/2014, 19:37

... use of an artificial neural network architecture for recognizing handwritten digit data. The feed-forward neural network, which was implemented in Java, was designed to be modular and parameterized ... approximation capability. In theory, a multi-layer feed-forward neural network with enough nodes and hidden layers can approximate any bounded function and its derivative to...

Ngày tải lên: 28/04/2014, 10:10

... 3 $\vee$ $\dot{\cdot}$ In this network, nonlinear transformation was made only of cascade of linear weighted summation and sigmoid nonlinearity. That is, we did not use any a priori knowledge about the dynamical structure of the controlled object. The learning went well and the network has some extent of generalization capability. In the learning, we still used the feedback torque comma...

Ngày tải lên: 28/04/2014, 10:16

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Ngày tải lên: 28/04/2014, 10:17

... replaced by a floating-rate bond, a floating-rate bond replaced by a fixed-rate bond, and a floating-rate bond replaced by another floating-rate bond with a different index or a different margin. MOTIVATION ... significantly better than a stopping-time model based on present value analysis. One aspect of bond refunding analysis that has not been adequately treated to date is t...

Ngày tải lên: 15/02/2014, 13:20