Stock forecasting involves complex interactions between market-influencing factors and unknown random processes. In this study, an integrated system, CBDWNN by combining dynamic time windows, case based reasoning (CBR), and neural network for stock trading prediction is developed and it includes three different stages: (1) screening out potential stocks and the important influential factors; (2...

Web Service is becoming an important and popular distributed computing model for providing on-demand service sharing on Internet. One of the difficult challenges in web service is how to deliver the reliable service application over unreliable web services around the world. To improve the automated diagnosis capability for web service, we completely model the BPEL process as a BPN model and pro...

The concept of the stochastic Boltzmann machine (BM) is auractive for decision making and pattern classification purposes since the probability of attaining the network states is a function of the network energy. Hence, the probability of attaining particular energy minima may be associated with the probabilities of making certain decisions (or classifications). However, because of its stochast...

The title 1:1 co-crystal, C11H14O3·C6H6N2O [systematic name: butyl 4-hy-droxy-benzoate-isonicotinamide (1/1)], crystallizes with one mol-ecule of butyl-paraben (BPN) and one mol-ecule of isonicotinamide (ISN) in the asymmetric unit. In the crystal, BPN and ISN mol-ecules form hydrogen-bonded (O-H⋯N and N-H⋯O) dimers of paired BPN and ISN mol-ecules. These dimers are further connected to each ot...

Early studies indicate that the hypertension observed in the Schlager inbred mouse strain may be attributed to a neurogenic mechanism. In this study, we examined the contribution of the sympathetic nervous system in maintaining hypertension in the BPH/2J mouse and used c-Fos immunohistochemistry to elucidate whether neuronal activation in specific brain regions was associated with waking blood ...

1,* Department of Industrial Engineering and Management, Chaoyang University of Technology No. 168, Jifong E. Rd, Wufong District, Taichung 41349, Taiwan, R.O.C. E-mail: [email protected] 2 Department of Industrial Engineering and Systems Management Feng Chia University 引用此文,請註明出處:Wu, H.C., Chen, T. (2015) CART–BPN approach for estimating cycle time in wafer fabrication, Journal of Ambient Inte...

Abstraet--A neural network approach is proposed to build the first stage of an Automatic Handwritten Signature Verification System. The directional Probability Density Function was used as a global shape factor and its discriminating power was enhanced by reducing its cardinality via filtering. Various experimental protocols were used to implement the backpropagation network (BPN) classifier. A...

This paper employs the continuous-time analogue Hopfield neural network to compute the temperature distribution in forward heat conduction problems and solves inverse heat conduction problems by using a back propagation neural (BPN) network to identify the unknown boundary conditions. The weak generalization capacity of BPN networks is improved by employing the Bayesian regularization algorithm...

In communication, convolution codes are extensively used for reliable data communication at receiver’s end the coded messages are decoded with Viterbi Decoders. However when the channel is noisy decoding becomes computationally complex even with enhanced Viterbi Decoder, hence it necessitates an efficient computationally less complex decoders. In this paper Viterbi Decoders are realized in BPN,...