AIMC Topic: Neural Networks, Computer

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Neural Networks for Survival Prediction in Medicine Using Prognostic Factors: A Review and Critical Appraisal.

Computational and mathematical methods in medicine
Survival analysis deals with the expected duration of time until one or more events of interest occur. Time to the event of interest may be unobserved, a phenomenon commonly known as right censoring, which renders the analysis of these data challengi...

Deep Learning of Subject Context in Ideological and Political Class Based on Recursive Neural Network.

Computational intelligence and neuroscience
Ideological and political education is the most important way to cultivate students' humanistic qualities, which can directly determine the development of other qualities. However, at present, the direction of ideological and political innovation in ...

Research on the Predictive Analysis of Park Landscape Design and Cost Based on RNN Model.

Computational intelligence and neuroscience
As people's awareness of the environment gradually increases and their requirements for the comfort of living space become higher, landscape design has also ushered in a golden period of development. With the increasing investment in landscape constr...

Application of Visual Recognition Based on BP Neural Network in Architectural Design Optimization.

Computational intelligence and neuroscience
In order to establish the mapping relationship between architectural design parameters and building performance and optimize architectural design parameters, an architectural design optimization method based on BP neural network is proposed. The sele...

Development of Network Security Based on the Neural Network PSD Algorithm.

Computational intelligence and neuroscience
The more frequent occurrence of network security incidents has an impact on network security. Through the research on network security situational awareness, this paper constructs a multilevel network security situation evaluation index system from v...

A Deep Neural Network-Based Model for Quantitative Evaluation of the Effects of Swimming Training.

Computational intelligence and neuroscience
This paper analyzes the quantitative assessment model of the swimming training effect based on the deep neural network by constructing a deep neural network model and designing a quantitative assessment model of the swimming training effect. This pap...

The Analysis of Environmental Cost Control of Manufacturing Enterprises Using Deep Learning Optimization Algorithm and Internet of Things.

Computational intelligence and neuroscience
Under the background of the Internet of things (IoT), the problems between the actual production and the environment are also prominent. The environmental cost control in the production process of manufacturing enterprises are discussed to reduce the...

Visual Information Computing and Processing Model Based on Artificial Neural Network.

Computational intelligence and neuroscience
This paper analyzes the parallel and serial information processing structure of visual system and proposes a visual information processing model with three layers: visual receptor layer, visual information conduction and relay layer, and information ...

Uncertainty Estimation Using Variational Mixture of Gaussians Capsule Network for Health Image Classification.

Computational intelligence and neuroscience
Capsule Networks have shown great promise in image recognition due to their ability to recognize the pose, texture, and deformation of objects and object parts. However, the majority of the existing capsule networks are deterministic with limited abi...

MFEAFN: Multi-scale feature enhanced adaptive fusion network for image semantic segmentation.

PloS one
Low-level features contain spatial detail information, and high-level features contain rich semantic information. Semantic segmentation research focuses on fully acquiring and effectively fusing spatial detail with semantic information. This paper pr...