A self organizing neural network model for a mechanism of pattern recognition unaffected by shift in position

... Mechanism of Pattern Recognition Unaffected by Shift in Position Kunihiko Fukushima NHK Broadcasting Science Research Laboratories, Kinuta, Setagaya, Tokyo, Japan Abstract. A neural network model ... to a A-shaped feature situated in a certain area in the input layer, and its response is less affected by the shift in position of the stimulus...

Ngày tải lên: 08/07/2014, 17:02

... paper we presented a model for the formation of limb trajectories, based on a neural network architec- ture. The task under consideration was that of reaching a target defined in terms of a ... not be learned by a linear network; (iv) after learning, the internal connections became organized into inhibitory and excitatory zones and encoded the main features...

Ngày tải lên: 28/04/2014, 10:16

... ending points coordinates, become the new data for the training of the network (phase 3). In this way, a mapping between muscular activations and points of the working space can be attained. The ... in the use of Artificial Neural Networks (ANN) because of their capabilities to adapt and to generalise to new situations. In order to link the neural learning/adaptation p...

Ngày tải lên: 19/06/2014, 10:20

... 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 forecast). In the training ... imputation of missing values in air quality data sets. Atmospheric Environment, accepted for publication. Karppinen, A. , Joffre, S., Vaajama, P., 1997. Boundary layer par...

Ngày tải lên: 17/02/2014, 22:20

... specific information in determining word spacing. In a word, the pro- posed model organizes the windows size online, and achieves high accuracy by removing both data sparseness and information lack. The ... best, a self- organizing -gram model explained below starts from bigram. 4 Self- Organizing -gram Model To tackle the problem of fixed window size in - gram models,...

Ngày tải lên: 23/03/2014, 18:20

Ngày tải lên: 03/01/2014, 19:37

... development of new neural network models and theories. Today numerous neural network models and algorithms are available including back propagation learning, competitive learning, Kohonen learning, ... correlation between a feature’s template and the input image. A value of 0 indicates that a feature template did not match the digit image; a value of 1 indicates a...

Ngày tải lên: 28/04/2014, 10:10

... section explains how the training takes place, in a back ward propagation neural network. In a backward propagation neural network, there are several layers, and each neuron in each layer is connected ... two interesting functions, TrainNetwork and RunNetwork, for training and running the network. The input to the TrainNetwork function is an object of TrainingData class....

Ngày tải lên: 28/04/2014, 10:10

... are linked together using a neural oscillator. For instance, see the paradigm suggested in Figure 11. The system mimics a human playing a musical shaker using periodic patterns according to a ... oscillator model developed by Edward Large for sim- ulating rhythm perception. Using a mechanical analog parameterization, we derive a force–feedback model structure that en...

Ngày tải lên: 21/06/2014, 17:20

... and Hayakawa N. (1989). A rainfall-runoff model using distributed data of radar rain and altitude. Proceedings of JSCE, 411/II-12, 135-140. (in Japanese) Nakasone H., Kuroda H., and Kubota K. ... determined by means of a field investigation by using a land-use map and a 1:5,000 map (Fig. 3). The Geographical Survey Institute in Japan publishes elevation data and the...

Ngày tải lên: 05/09/2013, 09:08