Monotremes (platypus and echidna) are the descendants of the oldest ancestor of all extant mammals distinguished from other mammals by mode of reproduction. Monotremes lay eggs following a short gestation period and after an even briefer incubation period, altricial hatchlings are nourished over a long lactation period with milk secreted by nipple-less mammary patches located on the female's ab...

PICOT (protein kinase C-interacting cousin of thioredoxin) was previously shown to inhibit pressure overload-induced cardiac hypertrophy, concomitant with an increase in ventricular function and cardiomyocyte contractility. The combined analyses of glutathione S-transferase pull-down experiments and mass spectrometry enabled us to determine that PICOT directly interacts with muscle LIM protein ...

In this contribution we present results of using possibly inaccurate knowledge of model derivatives as part of the training data for a multilayer perceptron network (MLP). Even simple constraints ooer signiicant improvements and the resulting models give better prediction performance than traditional data driven MLP models.

Speaker independent vowel recognition is a di cult pattern recognition problem. Recently therehas been much research using Multi-Layer Perceptrons (MLP) and Decision Trees for this task. Thispaper presents a new approach to this problem. A new neural architecture and learning algorithmcalled Neural Tree Networks (NTN) are developed. This network uses a tree structure with a neural<l...

In 2000, Balamurali and Govindaraju presented the modified tightened two-level continuous sampling plan (modified MLP-T-2 plan). This paper explores the problem of minimizing the average fraction inspected (AFI) for a modified MLP-T-2 plan. The solution procedure is developed to find the optimal parameters that will meet the average outgoing quality limit (AOQL) requirement, while also minimizi...

We propose an active learning method with hidden-unit reduction, which is devised specially for multilayer perceptrons (MLP). First, we review our active learning method, and point out that many Fisher-information-based methods applied to MLP have a critical problem: the information matrix may be singular. To solve this problem, we derive the singularity condition of an information matrix, and ...

The aim of this study is to evaluate the ability soft computing models including multilayer perceptron- (MLP-) water wave optimization (MLP-WWO), MLP-particle swarm (MLP-PSO), and MLP-genetic algorithm (MLP-GA), simulate daily monthly reference evapotranspiration (ET) at Aidoghmoush basin (Iran). Principal component analysis (PCA) was used find best input combination lagged ETs. According resul...

Although the physiological states of hypertrophic remodeling and congestive heart failure have been intensively studied, less is known about the transition from one to the other. The use of genetically engineered murine models of heart failure has proven valuable in characterizing the progression of remodeling and its ultimate decompensation to failure. Mice deficient in the cytoskeletal muscle...

Gaussian mixture models (GMM) and support vector machines (SVM) are introduced to classify faults in a population of cylindrical shells. The proposed procedures are tested on a population of 20 cylindrical shells and their performance is compared to the procedure, which uses multi-layer perceptrons (MLP). The modal properties extracted from vibration data are used to train the GMM, SVM and MLP....