Backpropagation (BP) is one of the most widely used algorithms for training feed-forward neural networks. One critical drawback is that the BP easily falls into local minima. In this paper, we propose a new method of learning for multi-layer neural network which is not only an efficient method of selecting reasonable parameter but also a supervised method of preventing the BP to be trapped at s...

Thin silicon nitride (Si3N4) films deposited using plasma-enhanced chemical deposition (PECVD) method have been used as metalinsulator-metal (MIM) capacitor dielectric for GaAs heterojunction bipolar transistor (HBT) technology. The characteristics of the films, which were deposited at 300C, were found to be dependent on how the PECVD film was deposited. A silicon nitride film deposited as a mu...

The first part of this paper gives an overview of a simplified approach to the statistical analysis of PET and fMRI data, including new developments and future directions. The second part outlines a new method, based on multivariate linear models (MLM), for characterising the response in PET and fMRI data, which overcomes some of the drawbacks of current methods such as SSM, SVD, PLS and CVA.

BACKGROUND Among the main data-analytical advances of recent decades are Latent Growth Models (LGM) and Multilevel Models (MLM) for the analysis of longitudinal data. OBJECTIVE We discuss the relative advantages and disadvantages of the two analytical methods and offer some practical guidelines concerning the choice between LGM and MLM based on (a). completeness and balance of the data, (b). ...

12 Abstract Per definition, CSCL research deals with the data of individuals nested in groups, 13 and the influence of a specific learning setting on the collaborative process of learning. 14 Most well-established statistical methods are not able to analyze such nested data 15 adequately. This article describes the problems which arise when standard methods are 16 applied and introduces multile...

The Mid-Level Model (MLM) is a MITRE CAASD-developed fast-time network simulation of the U.S. National Airspace System (NAS) and other world regions. We present a brief overview of MLM and an example of an MLM application to Air Traffic Flow Management (TFM). TFM actions are commonly used to mitigate capacity/demand imbalances within the NAS. Modeling TFM events has proven challenging in the pa...

Capsicum species are very important in Brazil because of economic, cultural and biological factors, and the country is considered to be a diversity center for this genus. Collection and maintenance of the genetic diversity in Capsicum are important to avoid genetic erosion. Besides the identification of species, the characterization and evaluation of accessions maintained in gene banks are of f...

The formulaton of a multi-layer primitive equation model on the sphere is described. The horizontal representation is by means of spherical harmonics, truncated either in the triangular or rhomboidal manner. The time integration is performed using the semi-implicit method in which the linearized gravity wave terms are time averaged and thus the fast moving waves of this type are slowed. For a S...

As the size of samples grows, the accuracy of trained multi-layer perceptrons grows with some improvement in error rates. But we cannot use larger and larger samples, because computational complexity to train the multi-layer perceptrons becomes enormous and data overfitting problem can happen. This paper suggests an effective approach in determining a proper sample size for multi-layer perceptr...

The renewed urgency to develop new treatments for Mycobacterium tuberculosis (Mtb) infection has resulted in large-scale phenotypic screening and thousands of new active compounds in vitro. The next challenge is to identify candidates to pursue in a mouse in vivo efficacy model as a step to predicting clinical efficacy. We previously analyzed over 70 years of this mouse in vivo efficacy data, w...