In this study, quantitative structure activity relationship (QSAR) models for the antioxidant activity of polysaccharides were developed with 50% effective concentration (EC50) as the dependent variable. To establish optimum QSAR models, multiple linear regressions (MLR), support vector machines (SVM) and artificial neural networks (ANN) were used, and 11 molecular descriptors were selected. Th...

Let FN be the distribution function of a finite real population size N. Fn empirical sample n drawn from without replacement. TFN any product moments or cumulants FN, let TFn denote version, and Tn,NFN expected value with respect to FN. We prove following remarkable inversion principle that TN,nFn is equal TFN. also obtain an explicit expression for all orders up six.

A study using 51 wheat, 56 barley and 34 oat grain samples was conducted to investigate the feasibility of predicting the apparent metabolizable energy (AME) value of these cereals for poultry. Stepwise regression analyses were performed to evaluate the relationship of AME with starch, ether extract (EE), crude fiber (CF), soluble sugar (SS), ash and crude protein (CP) (for wheat and barley gra...

Many multilevel relational data models have been proposed, and diierent models ooer diierent advantages. In this paper, we adapt and reene several of the best ideas from previous models and add new ideas to build the new Multilevel Relational (MLR) data model. MLR provides multilevel relations with element-level labeling, as a natural extension of the traditional relational data model. MLR intr...

In this study, a combined electro-(Fenton/coagulation/flotation) (EF/EC/El) process was studied via degradation of Disperse Orange 25 (DO25) organic dye as a case study. Influences of seven operational parameters on the dye removal efficiency (DR%) were measured: initial pH of the solution (pH0), applied voltage between the anode and cathode (V), initial ferrous ion concentration (CFe), initial...

The present work describes a comparison of the ability of multiple linear regression (MLR) and artificial neural networks (ANN) to predict fish spatial occupancy and abundance in a mesotrophic reservoir. Models were run and tested with 306 observations obtained by the sampling point abundance method using electrofishing. For each of the 306 samples, the relationships between physical parameters...

evaporation is one of the main parameters for the optimum operation of reservoirs, design of irrigation systems and scientific management of water resources. accurate estimation of the water evaporation level is crucial in any region especially in arid and semiarid regions. in this study, the feasibility of simulation of pan evaporation in maraghe station using the multiple regression models we...

A hardware implementation of the neo-fuzzy neuron with the learning mechanism by the analog technology and its application to the on-board real-time prediction of time series are described. A neo-fuzzy neuron (NFN) is proposed for a learning machine of non-linear relations and dynamics. The NFN is produced by a fusion of the fuzzy logic and the neuroscience. The NFN describes the non-linearity ...

A quantitative structure-property relationship (QSPR) study based on multiple linear regression (MLR) and artificial neural network (ANN) techniques is carried out to investigate the retention time behavior of some pesticides on the DB-5ms fused-silica column in gas chromatography. Five descriptors selected in the MLR model are: first component WHIM index (E1v), highest eigenvalue n.7 of burden...