Neural networks are a computational paradigm modeled on the human brain that has become popular in recent years for a few reasons. First, despite their simple structure, they provide very general computational capabilities [HORN89]. Second, they can be manufactured directly in VLSI hardware and hence provide the potential for relatively inexpensive massive parallelism [MEAD89]. Most importantly...

The present studyinvestigated the impact of selection for body weight (BW) on productive performance, predicted BW and genetic improvement of related traits in Japanese quail. Base population, selected parent and F1 progeny were tested. Pens and cages were used for rearing and breeding. A total of 240 birds in two successive generations, 27 sires and 54 dams (as selected parents) were used. Bod...

Effects of selection for 2-yr-old heifer calving ease (reduced calving difficulty score) on phenotypic differences between select and control lines of cattle for birth, growth, yearling hip height, and pelvic measurements were estimated. The selection objective was to decrease calving difficulty score in 2-yr-old heifers, while either maintaining or increasing yearling weight. The control line ...

Multi-label feature selection attracts considerable attention from multi-label learning. Information theory-based methods intend to select the most informative features and reduce uncertain amount of information labels. Previous regard labels as constant. In fact, classification label set is captured by features, remaining uncertainty each changing dynamically. this paper, we categorize into tw...

genetic variation is necessary factor for continued breeding and increasing genetic gain from selection in crop plants. to evaluate genetic variation and genetic gain from selection in bread wheat, 45 genotypes consisting of 9 cultivars and their 36 crosses were grown in a randomized complete block design with three replications in research farm of isfahan university of technology. the phenotyp...