In many cases the supervised neural network training using a backpropagation based learning rule can be trapped in a local minimum of the error function. These training algorithms are local minimization methods and have no mechanism that allows them to escape the in uence of a local minimum. The existence of local minima is due to the fact that the error function is the superposition of nonline...

The purpose of this study was to determine if straight sprint training transferred to agility performance tests that involved various change-of-direction complexities and if agility training transferred to straight sprinting speed. Thirty-six males were tested on a 30-m straight sprint and 6 agility tests with 2-5 changes of direction at various angles. The subjects participated in 2 training s...

Except for the excellence of their material and their focus on criminal behaviour there is little common ground between these two books. The former describes an original research into the prediction of success and failure among Borstal boys, carried out jointly by a criminologist and a statistician of distinction in their respective fields. The latter consists of a series of lectures given unde...

This paper presents a theoretical study comparing the improvement of the whole body maximum oxygen uptake (maximum aerobic power or VO2max) when training at different intensities and with different methods matched for total work performance and frequency of training. We compare VO2max improvement in five training methods, testing Helgerud et al.’s (2007) experimental study against Moxnes and Ha...

The laparoscopic surgery laboratory was created by P. Morel, MD, Head of the Department of Surgery, Hospital of Geneva, in 1993. Originally, we used pigs for all kinds of training, as many other laboratories do. After one year of practice, it appeared to me that the use of pigs was not as efficient as we thought it would be besides raising many ethical questions. The problem at that time, was h...

-Mimmtsatlon methods for trammgfeedforward networks with back propagatton are compared Feedforward neural network trammg ts a special case of functlon mmtmtsatton, where no exphctt model o f the data ts assumed Therefore, and due to the htgh dlmenstonahty o f the data, hneartsatton of the trainmg problem through use o f orthogonal basts functtons is not destrable The focus ts on functton mmlmts...

Supervised learning in neural networks based on the popular backpropagation method can be often trapped in a local minimum of the error function. The class of backpropagation-type training algorithms includes local minimization methods that have no mechanism that allows them to escape the influence of a local minimum. The existence of local minima is due to the fact that the error function is t...

Discriminative language modeling (DLM) aims to choose the most accurate word sequence by reranking the alternatives output by the automatic speech recognizer (ASR). The conventional (supervised) way of training a DLM requires a large amount of acoustic recordings together with their manual reference transcriptions. These transcriptions are used to determine the target ranks of the ASR outputs, ...

A new class of methods for training multilayer feedforward neural networks is proposed. The proposed class of methods draws from methods for solving initial value problems of ordinary differential equations, and belong to the subclass of trajectory methods. The training of a multilayer feedforward neural network is equivalent to the minimization of the network’s error function with respect to t...

One area of pediatric care that strongly presents an opportunity for anticipatory guidance and clinical intervention is that of toilet training. Because most toilet training problems presenting to the health care practitioner reflect inappropriate training efforts and parental pressure, providers can, by consulting with parents, elucidate and address misconceptions parents have about the toilet...