This paper presents the PNNC (Parallel Neural Networks by Conndence) and PNNS (Parallel Neural Networks by Success/Failure), which generate and integrate parallel neural networks to achieve high performance on the test problem of letter recognition from string of phonemes. Our approach provides a way to create subproblems for a complex problem by partitioning the data, thus each neural network ...

The brain extracellular matrix (ECM) is involved in several aspects of neuronal development, plasticity, and pathophysiology. Chondroitin sulfate proteoglycans (CSPGs), consisting of core proteins with covalently attached chondroitin sulfate (CS) chains, are essential components of the brain ECM. During late postnatal development, CSPGs condense around parvalbumin-expressing inhibitory neurons ...

statistical process control (spc) charts play a major role in quality control systems, and their correct interpretation leads to discovering probable irregularities and errors of the production system. in this regard, various artificial neural networks have been developed to identify mainly singular patterns of spc charts, while having drawbacks in handling multiple concurrent patterns. in this...

Recent advances in statistical inference have significantly expanded the toolbox of probabilistic modeling. Historically, modeling has been constrained to very restricted model classes, where exact or approximate is feasible. However, developments variational inference, a general form that originated physics, enabled overcome these limitations: (i) Approximate now possible over broad class mode...

In this paper, a new methodology is proposed for deterministic learning with neural networks. Using an observer that employs the integral of the sign of the error term, asymptotic estimation of the respective nonlinear vector field is achieved. Patchy Neural Networks (PNNs) are introduced to identify the unknown nonlinearity from the observer’s output and the state measurements. The proposed sc...

Artificial intelligence applications in fire safety of agricultural structures have practical economic and technological benefits on commercial agriculture. The FAO estimates that wildfires result at least USD 1 billion agriculture-related losses due to the destruction livestock pasture, buildings, premature death farm animals, general disruption activities. Even though artificial neural networ...

Efforts to optimize the design of mechanical systems for preestablished use environments and to extend the durations of use cycles establish a need for in-service health monitoring. Numerous studies have proposed measures of structural response for the identification of srrucrural damage, buf few have suggested systematic techniques to guide the decision es to whether or not damage has occurred...