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Seawater chlorophyll-a (Chla) represents algal biomass in ocean and is a major index of eutrophication. In this paper, bootstrapped artificial neural network (BANN) model is developed for predicting the seawater Chla concentration around the north Pacific Rim. Three-layer ANN structure is applied and the modeling is based on comprehensive five-minute interval datasets of water temperature, depth,...
The DIBR technique generates a 3-D perception through a 2-D color and a depth map sequences. Compressing depth map sequence is necessary for storage and transmission considerations. However, the tradeoff between bit rate reduction and quality degradation from compression should be addressed. We propose a bit rate-saving intra coding scheme which modifies, prior to compression, each depth map to minimize...
In this experiment, by using the method of artificial neural network and DPS DATA PROCESSING SYSTEM combined with the meteorological data of air temperature, relative air humidity, solar radiation, wind speed, soil water content and dew point temperature as the input variable, the author established the artificial neural network system to forecast the seedling water consumption of P.×euramericana...
Relative growth is defined as the description of the growth relationship between biological and biological part (organ). The relative growth function is a function on variable of growth and non-time variables. In the paper, a system relative growth model which taken Betula costata as an example was constructed based on the projection pursuit regression (PPR) artificial neural network. The system model...
Stand age is the average age of trees in the stand. In this paper, the back propagation (BP) artificial neural network, the projection pursuit regression (PPR) artificial neural network and the multiple stepwise regression anatomic models were introduced to predict the nonlinear relation between the natural stand age and the stand factors. At the same time, the author contrasted the forecasting results...
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