AIMC Topic: Neural Networks, Computer

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Regular expressions for decoding of neural network outputs.

Neural networks : the official journal of the International Neural Network Society
This article proposes a convenient tool for decoding the output of neural networks trained by Connectionist Temporal Classification (CTC) for handwritten text recognition. We use regular expressions to describe the complex structures expected in the ...

Segmenting Retinal Blood Vessels With Deep Neural Networks.

IEEE transactions on medical imaging
The condition of the vascular network of human eye is an important diagnostic factor in ophthalmology. Its segmentation in fundus imaging is a nontrivial task due to variable size of vessels, relatively low contrast, and potential presence of patholo...

Local community detection as pattern restoration by attractor dynamics of recurrent neural networks.

Bio Systems
Densely connected parts in networks are referred to as "communities". Community structure is a hallmark of a variety of real-world networks. Individual communities in networks form functional modules of complex systems described by networks. Therefor...

Extending unified-theory-of-reinforcement neural networks to steady-state operant behavior.

Behavioural processes
The unified theory of reinforcement has been used to develop models of behavior over the last 20 years (Donahoe et al., 1993). Previous research has focused on the theory's concordance with the respondent behavior of humans and animals. In this exper...

Can Lionel Messi's brain slow down time passing?

Chronobiology international
It seems that seeing others in slow-motion by heroes does not belong only to movies. When Lionel Messi plays football, you can hardly see anything from him that other players cannot do. Then why he is not stoppable really? It seems the answer may be ...

Using a Hybrid Model to Forecast the Prevalence of Schistosomiasis in Humans.

International journal of environmental research and public health
BACKGROUND: We previously proposed a hybrid model combining both the autoregressive integrated moving average (ARIMA) and the nonlinear autoregressive neural network (NARNN) models in forecasting schistosomiasis. Our purpose in the current study was ...

Models of visual categorization.

Wiley interdisciplinary reviews. Cognitive science
Visual categorization refers to our ability to organize objects and visual scenes into discrete categories. It is an essential skill as it allows us to distinguish friend from foe or edible versus poisonous food. Understanding how the visual system c...

A Directed Acyclic Graph-Large Margin Distribution Machine Model for Music Symbol Classification.

PloS one
Optical Music Recognition (OMR) has received increasing attention in recent years. In this paper, we propose a classifier based on a new method named Directed Acyclic Graph-Large margin Distribution Machine (DAG-LDM). The DAG-LDM is an improvement of...

Localizing Tortoise Nests by Neural Networks.

PloS one
The goal of this research is to recognize the nest digging activity of tortoises using a device mounted atop the tortoise carapace. The device classifies tortoise movements in order to discriminate between nest digging, and non-digging activity (spec...

Implementation of an artificial neural network as a PAT tool for the prediction of temperature distribution within a pharmaceutical fluidized bed granulator.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
In this study, a novel in-line measurement technique of the air temperature distribution during a granulation process using a conical fluidized bed was designed and built for the purpose of measuring the temperature under the Process Analytical Techn...