類神經網路預測推桿距離之可能性探討

A newly developed method, which is called RNBP (reasoning neural network with backward propagation), is employed in this paper to classify the Taiwan stocks into growth

However the functional link neural networks in [7] does not include the Hopfield neural network (HNN), and the weighting factors tuned via back-propagation algorithm can not

Hough transform neural network is adopted to detect line pattern of direct wave and hyperbolic pattern of reflection wave in a one-shot seismogram.. We propose the use of

We design cellular neural network to behave as associative memory according to the stored patterns, and finish the process of network training.. Then we use this associative

 Objective: An artificial neural network (ANN) was developed to predict the pathologic stage of prostate cancer more effective ly than regression models based on the combined use

If the input symptoms do not exactly match the data in the knowledge base, the system will manage the classification of the possible departments by a backward-propagation

Therefore, in the second year, we propose a self-organizing HCMAC (Hierarchical Cerebellar Model Arithmetic Computer) neural network classifier which contains a

【41】Kimoto, T., Asakawa, K., Yoda, M., and Takeoka, M., “Stock Market PredictionSystem with Modular Neural Networks,” International Joint Conference onNeural Network, Vol.1,