AIMC Topic: Neural Networks, Computer

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Artificial neural network modeling of the water quality index using land use areas as predictors.

Water environment research : a research publication of the Water Environment Federation
This paper describes the design of an artificial neural network (ANN) model to predict the water quality index (WQI) using land use areas as predictors. Ten-year records of land use statistics and water quality data for Kinta River (Malaysia) were em...

Non-divergence of stochastic discrete time algorithms for PCA neural networks.

IEEE transactions on neural networks and learning systems
Learning algorithms play an important role in the practical application of neural networks based on principal component analysis, often determining the success, or otherwise, of these applications. These algorithms cannot be divergent, but it is very...

Delay-based reservoir computing: noise effects in a combined analog and digital implementation.

IEEE transactions on neural networks and learning systems
Reservoir computing is a paradigm in machine learning whose processing capabilities rely on the dynamical behavior of recurrent neural networks. We present a mixed analog and digital implementation of this concept with a nonlinear analog electronic c...

Consensus-based distributed cooperative learning from closed-loop neural control systems.

IEEE transactions on neural networks and learning systems
In this paper, the neural tracking problem is addressed for a group of uncertain nonlinear systems where the system structures are identical but the reference signals are different. This paper focuses on studying the learning capability of neural net...

Backstepping fuzzy-neural-network control design for hybrid maglev transportation system.

IEEE transactions on neural networks and learning systems
This paper focuses on the design of a backstepping fuzzy-neural-network control (BFNNC) for the online levitated balancing and propulsive positioning of a hybrid magnetic levitation (maglev) transportation system. The dynamic model of the hybrid magl...

A scalable projective scaling algorithm for l(p) loss with convex penalizations.

IEEE transactions on neural networks and learning systems
This paper presents an accurate, efficient, and scalable algorithm for minimizing a special family of convex functions, which have a lp loss function as an additive component. For this problem, well-known learning algorithms often have well-establish...

[Neurocomputer identification of order parameters in gerontology].

Advances in gerontology = Uspekhi gerontologii
Investigation of distinctions discovered between three groups of different age female-khanty (indigenous population of Ugra, Russia) of five active components (from all 14 components registered) of a state vector of cardiovascular system shows the wr...

Automatic Wheezing Detection Based on Signal Processing of Spectrogram and Back-Propagation Neural Network.

Journal of healthcare engineering
Wheezing is a common clinical symptom in patients with obstructive pulmonary diseases such as asthma. Automatic wheezing detection offers an objective and accurate means for identifying wheezing lung sounds, helping physicians in the diagnosis, long-...

GAIT PATTERN RECOGNITION IN CEREBRAL PALSY PATIENTS USING NEURAL NETWORK MODELLING.

Journal of Ayub Medical College, Abbottabad : JAMC
BACKGROUND: Interpretation of gait data obtained from modern 3D gait analysis is a challenging and time consuming task. The aim of this study was to create neural network models which can recognise the gait patterns from pre- and post-treatment and t...

Bacterial colony counting by Convolutional Neural Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Counting bacterial colonies on microbiological culture plates is a time-consuming, error-prone, nevertheless fundamental task in microbiology. Computer vision based approaches can increase the efficiency and the reliability of the process, but accura...