In the trading operation of dynamic portfolio insurance, TIPP (Time Invariant Portfolio Protection), when adjusting active assets, only considers the scale of asset of that time regardless of how market trend proceeds. In other words, TIPP is clumsy in evading loss and pursuing profits. This study makes use of the predictability of artificial neural network, via market trend analysis and the le...

Quantifying secondary forest age (SFA) is essential to evaluate the carbon processes of ecosystems at regional and global scales. However, successional stages forests remain poorly understood due low-frequency thematic maps. This study aimed estimate SFA with higher frequency more accuracy by using dense Landsat archives. The performances four time-series change detection algorithms—moving aver...

The stock market is an aggregation of investor sentiment that affects daily changes in prices. Investor remained a mystery and challenge over time, inviting researchers to comprehend the trends. entry behavioral scientists around 1980s brought trading's human dimensions. Shortly after that, due digitization exchanges, mix traders changed as institutional started using algorithmic trading (AT) o...

Research on stock price prediction and trading model using evolutionary computation has been done in recent years. As we know, prediction in the stock market is quite difficult for a number of reasons. First, the ultimate goal of our research is not to minimize the prediction error, but to maximize the profits. Second, the weak relationships among variables tend to be nonlinear, and they may ho...

BACKGROUND  Compared with hand-sewn anastomoses, microvascular anastomotic coupling devices (MACDs) provide equivalent flap survival and reduced operative time. To date, an economic analysis of MACDs has not been reported. The objective of this study was to evaluate the economics of a venous anastomosis performed using a coupling device compared with a hand-sewn anastomosis. METHODS  Economic...

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(2013) Forecasting foreign exchange rates with adaptive neural networks using radial basis functions and particle swarm optimization. The content must not be changed in any way or reproduced in any format or medium without the formal permission of the copyright holder(s) Forecasting foreign exchange rates with adaptive neural networks using radial-basis functions and particle swarm optimization...