abstract the present research was conducted in a commercial orchard of pistachio during 2006-2007 in rafsanjan, iran. gibberellic acid (ga3) were applied at 0, 25, 50 and 75 mgl-1 and at three time of spray (the first of june, july and august) on “ahmad-aghai” pistachio cultivar. two branches of each tree was sprayed during two years of study. spraying at june had least of early splitting. ga3 ...

to evaluate the morphological diversity of some almond cultivars and genotypes, an experiment was carried out on 55 iranian and foreign genotypes. twenty-nine quantitative and qualitative characteristics of nuts and kernels as well as 4 phenotypic characteristics of almond trees were evaluated. analysis of variance and means comparisons indicated that all the characteristics of the examined cul...

kernel density estimators are the basic tools for density estimation in non-parametric statistics.  the k-nearest neighbor kernel estimators represent a special form of kernel density estimators, in  which  the  bandwidth  is varied depending on the location of the sample points. in this paper‎, we  initially introduce the k-nearest neighbor kernel density estimator in the random left-truncatio...

to investigate the genetic diversity of persian walnut (juglans regia), 608 different walnut genotypes of neyriz region were evaluated for 30 morphological characteristics including kernel color, fruit shape, shell seal, shell texture and kernel plumpness, kernel weight, percentage of kernel as well as thickness of shell. the correlation between was traits in most cases significant at either 1 ...

In this letter, the numerical scheme of nonlinear Volterra-Fredholm integro-differential equations is proposed in a reproducing kernel Hilbert space (RKHS). The method is constructed based on the reproducing kernel properties in which the initial condition of the problem is satised. The nonlinear terms are replaced by its Taylor series. In this technique, the nonlinear Volterra-Fredholm integro...

Kernel theory is a demonstrated tool that has made its way into nearly all areas of machine learning. However, serious limitation kernel methods knowing which needed in practice. Multiple learning (MKL) an attempt to learn new tailored through the aggregation set valid known kernels. There are generally three approaches MKL: fixed rules, heuristics, and optimization. Optimization most popular; ...

in this paper, we introduce the notion of an action $y_x$as a generalization of the notion of a module,and the notion of a norm $vt: y_xto f$, where $f$ is a field and $vartriangle(xy)vartriangle(y') =$ $ vartriangle(y)vartriangle(xy')$ as well as the notion of fuzzy norm, where $vt: y_xto [0, 1]subseteq {bf r}$, with $bf r$  the set of all real numbers. a great many standard mappings on algebr...