AIMC Topic:
Models, Theoretical

Clear Filters Showing 1251 to 1260 of 1797 articles

Approximate Bayesian MLP regularization for regression in the presence of noise.

Neural networks : the official journal of the International Neural Network Society
We present a novel regularization method for a multilayer perceptron (MLP) that learns a regression function in the presence of noise regardless of how smooth the function is. Unlike general MLP regularization methods assuming that a regression funct...

Identifying Important Attributes for Prognostic Prediction in Traumatic Brain Injury Patients. A Hybrid Method of Decision Tree and Neural Network.

Methods of information in medicine
BACKGROUND: Generally, traumatic brain injury (TBI) patients do not have a stable condition, particularly after the first week of TBI. Hence, indicating the attributes in prognosis through a prediction model is of utmost importance since it helps car...

Unscented Kalman Filter-Trained Neural Networks for Slip Model Prediction.

PloS one
The purpose of this work is to investigate the accurate trajectory tracking control of a wheeled mobile robot (WMR) based on the slip model prediction. Generally, a nonholonomic WMR may increase the slippage risk, when traveling on outdoor unstructur...

Optimization for Service Routes of Pallet Service Center Based on the Pallet Pool Mode.

Computational intelligence and neuroscience
Service routes optimization (SRO) of pallet service center should meet customers' demand firstly and then, through the reasonable method of lines organization, realize the shortest path of vehicle driving. The routes optimization of pallet service ce...

Ensembles of randomized trees using diverse distributed representations of clinical events.

BMC medical informatics and decision making
BACKGROUND: Learning deep representations of clinical events based on their distributions in electronic health records has been shown to allow for subsequent training of higher-performing predictive models compared to the use of shallow, count-based ...

A Novel RSSI Prediction Using Imperialist Competition Algorithm (ICA), Radial Basis Function (RBF) and Firefly Algorithm (FFA) in Wireless Networks.

PloS one
This study aims to design a vertical handover prediction method to minimize unnecessary handovers for a mobile node (MN) during the vertical handover process. This relies on a novel method for the prediction of a received signal strength indicator (R...

Bagged neural network model for prediction of the mean indoor radon concentration in the municipalities in Czech Republic.

Journal of environmental radioactivity
The purpose of the study is to determine radon-prone areas in the Czech Republic based on the measurements of indoor radon concentration and independent predictors (rock type and permeability of the bedrock, gamma dose rate, GPS coordinates and the a...

A multiscale modelling of bone ultrastructure elastic proprieties using finite elements simulation and neural network method.

Computer methods and programs in biomedicine
Bone is a living material with a complex hierarchical structure which entails exceptional mechanical properties, including high fracture toughness, specific stiffness and strength. Bone tissue is essentially composed by two phases distributed in appr...

Single actuator wave-like robot (SAW): design, modeling, and experiments.

Bioinspiration & biomimetics
In this paper, we present a single actuator wave-like robot, a novel bioinspired robot which can move forward or backward by producing a continuously advancing wave. The robot has a unique minimalistic mechanical design and produces an advancing sine...