network model
A Neural Network Model for Forecasting CO2 Emission
... neural network model (ANN), you can perform this task much more ...forecasting model whose use is relevant to the subject of air quality ...The network is made by computational units ...
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Ongoing Processes in a Fitness Network Model under Restricted Resources.
... for network modeling, namely, the compatibility between robust- ness and ...fitness-driven network model for finite resources. In our model, each individual has its own fitness, which it tries ...
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Accelerating a Network Model of Care: Taking a Social Innovation to Scale
... al network is a group of individuals who come together to provide intentional and purposeful support for a per- son(s) facing a life ...a network model of care moves us beyond looking at patients as ...
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Artificial neural network model applied to a PEM fuel cell
... In this work, the influences of gases relative humidity and temperature and cell temperature were studied. Additionally, several ANN models were tested to predict the voltage using some experimental conditions. The early ...
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Japanese Dairy Cattle Productivity Analysis using Bayesian Network Model (BNM)
... Bayesian network model assisted to visualize the changes of posterior probability as the evidence increases and thus assists to improve the accurate findings of estrous cycles with other ...Bayesian ...
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A neural network model of ventriloquism effect and aftereffect.
... neural network. The model contains two layers of unimodal visual and auditory neurons, with visual neurons having higher spatial resolution than auditory ...The network accounts for the ventriloquism ...
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A robust deep convolutional neural network model for text categorization
... Our model achieved an accuracy higher than 70%, in most of the experiments, using data sets whose documents were written by ...our model is able to learn the discourse used by the group of people who wrote ...
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An artificial neural network model for rainfall forecasting in Bangkok, Thailand
... for model D, which included relative humidity, wet bulb temperature, air pressure, cloudiness, average hourly rainfall intensity of all rain gauges, and present rainfall of E18 ...the model structure was ...
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Mesoscopic segregation of excitation and inhibition in a brain network model.
... mass model to study computa- tionally the dynamics of a network of cortical macrocolumns operating in a partially synchro- nized, irregular ...the network is heterogeneous, with a few of the nodes ...
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Spatial learning and action planning in a prefrontal cortical network model.
... neurocomputational model of the PFC columnar organization [40] and focuses on its possible role in spatial navigation ...column model generates compact topological maps from afferent redundant spatial ...
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The internationalization paradigm and dynamic capabilities of Portuguese firms: contributions from case studies in the metallurgical and metal-mechanic sectors
... revised model is based on the core argument that markets are networks (of various and complex) relationships where firms get connected to each ...business network model demonstrates the liability of ...
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Computational modeling of prefrontal cortex circuits
... the network suffers the influence of external perturbations, such has noise or dis- tractors, or internal heterogeneity ...the network model, these three slow mechanisms conferred stability to the ...
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Towards The Development of an Index to Measure the Performance of Multi-Productivity Areas
... first model based on regression ...second model is a neural network ...the model with batch training, scaled conjugate gradient as an optimization algorithm and hyperbolic tangent and identity ...
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Neural Network-Based Identification and Approximate Predictive Control of a Servo-Hydraulic Vehicle Suspension System
... accurate model or characteristics of a dynamic system from its input-output ...linear model from the nonlinear neural network model at each sampling time for control ...process. Model ...
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Process-driven inference of biological network structure: feasibility, minimality, and multiplicity.
... Boolean network model is often a useful step towards understand- ing a ...elucidate network design principles in biological ...about network structure (edge variables) and biological process ...
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The use of neural network technology to model swimming performance
... to model the movement pattern of the shot put ...neural network model able to predict the maximum flight dis- tance based on the technical data ...the model and the true distance was only ...
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When is an ecological network complex? Connectance drives degree distribution and emerging network properties
... niche model of food webs (Williams & Martinez, 2000), which generates (directed) networks under rules representing hypothesized mechanisms of prey-selection in empirical ecosystems (Gravel et ...particular ...
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Reward optimization in the primate brain: a probabilistic model of decision making under uncertainty.
... a model that combines a traditional decision making model with reinforcement learning [9] (see also ...neural model for decision making based on the framework of partially observable Markov decision ...
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Some methods for sensitivity analysis of systems / networks
... A network may considerably change with certain nodes, links, flows, or ...determine network structure or performance is of ...to network analysis in which the model output means network ...
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Development of a iron pipe corrosion simulation model for a water supply network
... tion of lost quantity of mass per square meter, reducing its value if circumference gives more than one or increasing its quantity if circumference gives less than one square meter. Data about pipe exploitation ages were ...
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