AIMC Topic: Computer Simulation

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A New Local Bipolar Autoassociative Memory Based on External Inputs of Discrete Recurrent Neural Networks With Time Delay.

IEEE transactions on neural networks and learning systems
In this paper, local bipolar auto-associative memories are presented based on discrete recurrent neural networks with a class of gain type activation function. The weight parameters of neural networks are acquired by a set of inequalities without the...

What is consciousness, and could machines have it?

Science (New York, N.Y.)
The controversial question of whether machines may ever be conscious must be based on a careful consideration of how consciousness arises in the only physical system that undoubtedly possesses it: the human brain. We suggest that the word "consciousn...

In silico prediction of multiple-category classification model for cytochrome P450 inhibitors and non-inhibitors using machine-learning method.

SAR and QSAR in environmental research
The cytochrome P450 (CYP) enzyme superfamily is involved in phase I metabolism which chemically modifies a variety of substrates via oxidative reactions to make them more water-soluble and easier to eliminate. Inhibition of these enzymes leads to und...

Trajectory Predictor by Using Recurrent Neural Networks in Visual Tracking.

IEEE transactions on cybernetics
Motion models have been proved to be a crucial part in the visual tracking process. In recent trackers, particle filter and sliding windows-based motion models have been widely used. Treating motion models as a sequence prediction problem, we can est...

Unsupervised modulation filter learning for noise-robust speech recognition.

The Journal of the Acoustical Society of America
The modulation filtering approach to robust automatic speech recognition (ASR) is based on enhancing perceptually relevant regions of the modulation spectrum while suppressing the regions susceptible to noise. In this paper, a data-driven unsupervise...

Predictions of Diffuse Pollution by the HSPF Model and the Back-Propagation Neural Network Model.

Water environment research : a research publication of the Water Environment Federation
  Watershed models are important tools for predicting the possible change of watershed responses. Environmental models comprise the deterministic model and the probabilistic model. This study discusses the Hydrological Simulation Program Fortran (HSP...

Cellular neural network modelling of soft tissue dynamics for surgical simulation.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Currently, the mechanical dynamics of soft tissue deformation is achieved by numerical time integrations such as the explicit or implicit integration; however, the explicit integration is stable only under a small time step, whereas the i...

ChainMail based neural dynamics modeling of soft tissue deformation for surgical simulation.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Realistic and real-time modeling and simulation of soft tissue deformation is a fundamental research issue in the field of surgical simulation.