منابع مشابه
Women and Weight Training
There are many motivational factors or barriers that effect women to weight train at a recreational standard. In this research, weight training is any use of resistance machines, bands or the lifting of weights. Through this research, the question of how do women who weight train differ from those who do not in a physical, mental and social aspect is answered. Furthermore, this research identif...
متن کاملHeavy Weight Training Mythology
The mythological story of the association of lifting maximal amount of weight and muscle mass gain during resistance training has been perpetuated for a very long time. Passed on from gym meatheads, athletes, to coaches, moms, dads, even children can identify and promote this after watching a Saturday morning Incredible Hulk cartoon. Big muscles are made by lifting big weights, right? Not neces...
متن کاملOn Weight-Noise-Injection Training
While injecting weight noise during training has been proposed for more than a decade to improve the convergence, generalization and fault tolerance of a neural network, not much theoretical work has been done to its convergence proof and the objective function that it is minimizing. By applying the Gladyshev Theorem, it is shown that the convergence of injecting weight noise during training an...
متن کاملThe effects of continued training and high intensity interval training along with Citrus aurantium on aerobic power, heart weight, adipose tissue weight and body weight of elderly rats
Background and objective: Nutrition and physical activity are two factors which affecting the control of body composition and cardiorespiratory fitness in the elderly population. Present study aimed to investigate the effects of continued training (CT) and high intensity interval training (HIIT) along with Citrus aurantium (Ca) on aerobic power and body composition of elderly rats. Material An...
متن کاملWeight Initialization-based Partial Training Algorithm
The deep learning or deep neural network (DNN) currently provide the best solution to many problems in classification. However, DNN requires much more time and many calculations than existing other classification algorithms. In addition, if new features and classes are added into existing model, it should re-learn all of data set in order to apply the new features and classes into learned model...
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ژورنال
عنوان ژورنال: The Iowa Review
سال: 2011
ISSN: 0021-065X,2330-0361
DOI: 10.17077/0021-065x.7076