AIMC Topic:
Models, Theoretical

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Sequential dynamic artificial neural network modeling of a full-scale coking wastewater treatment plant with fluidized bed reactors.

Environmental science and pollution research international
This study proposed a sequential modeling approach using an artificial neural network (ANN) to develop four independent models which were able to predict biotreatment effluent variables of a full-scale coking wastewater treatment plant (CWWTP). Suita...

Many regression algorithms, one unified model: A review.

Neural networks : the official journal of the International Neural Network Society
Regression is the process of learning relationships between inputs and continuous outputs from example data, which enables predictions for novel inputs. The history of regression is closely related to the history of artificial neural networks since t...

Novel hybrid adaptive controller for manipulation in complex perturbation environments.

PloS one
In this paper we present a hybrid control scheme, combining the advantages of task-space and joint-space control. The controller is based on a human-like adaptive design, which minimises both control effort and tracking error. Our novel hybrid adapti...

Combining conceptual graphs and argumentation for aiding in the teleexpertise.

Computers in biology and medicine
Current medical information systems are too complex to be meaningfully exploited. Hence there is a need to develop new strategies for maximising the exploitation of medical data to the benefit of medical professionals. It is against this backdrop tha...

Improving nonlinear modeling capabilities of functional link adaptive filters.

Neural networks : the official journal of the International Neural Network Society
The functional link adaptive filter (FLAF) represents an effective solution for online nonlinear modeling problems. In this paper, we take into account a FLAF-based architecture, which separates the adaptation of linear and nonlinear elements, and we...

Convergence analysis of an augmented algorithm for fully complex-valued neural networks.

Neural networks : the official journal of the International Neural Network Society
This paper presents an augmented algorithm for fully complex-valued neural network based on Wirtinger calculus, which simplifies the derivation of the algorithm and eliminates the Schwarz symmetry restriction on the activation functions. A unified me...

Evaluation of wavelet performance via an ANN-based electrical conductivity prediction model.

Environmental monitoring and assessment
The prediction of water quality parameters plays an important role in water resources and environmental systems. The use of electrical conductivity (EC) as a water quality indicator is one of the important parameters for estimating the amount of mine...

Advanced mean-field theory of the restricted Boltzmann machine.

Physical review. E, Statistical, nonlinear, and soft matter physics
Learning in restricted Boltzmann machine is typically hard due to the computation of gradients of log-likelihood function. To describe the network state statistics of the restricted Boltzmann machine, we develop an advanced mean-field theory based on...

Surface modeling of workpiece and tool trajectory planning for spray painting robot.

PloS one
Automated tool trajectory planning for spray-painting robots is still a challenging problem, especially for a large free-form surface. A grid approximation of a free-form surface is adopted in CAD modeling in this paper. A free-form surface model is ...

Measurement and ANN prediction of pH-dependent solubility of nitrogen-heterocyclic compounds.

Chemosphere
Based on the solubility of 25 nitrogen-heterocyclic compounds (NHCs) measured by saturation shake-flask method, artificial neural network (ANN) was employed to the study of the quantitative relationship between the structure and pH-dependent solubili...