Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] African Buffalo algorithm: training the probabilistic neural network to solve classification problems
Classification is used to categorize data and produce decisions for several domains. To
improve the accuracy of classification, researchers have tended to hybridize the neural …
improve the accuracy of classification, researchers have tended to hybridize the neural …
Improved water cycle algorithm with probabilistic neural network to solve classification problems
Classification is achieved through the categorisation of objects into predefined categories or
classes, where the categories or classes are created based on a similar set of attributes of …
classes, where the categories or classes are created based on a similar set of attributes of …
Hyperparameter optimization of evolving spiking neural network for time-series classification
Spiking neural networks are the third generation of artificial neural networks that are inspired
by a new brain-inspired computational model of ANN. Spiking neural network encodes and …
by a new brain-inspired computational model of ANN. Spiking neural network encodes and …
Geometric mean of fin efficiency and effectiveness: A parameter to determine optimum length of open-cell metal foam used as extended heat transfer surface
High porosity open-cell metal foams have captured the interest of thermal industry due to
their high surface area density, low weight, and ability to create tortuous mixing of fluid. In …
their high surface area density, low weight, and ability to create tortuous mixing of fluid. In …
[PDF][PDF] Integrated Evolving Spiking Neural Network and Feature Extraction Methods for Scoliosis Classification
Adolescent Idiopathic Scoliosis (AIS) is a deformity of the spine that affects teenagers. The
current method for detecting AIS is based on radiographic images which may increase the …
current method for detecting AIS is based on radiographic images which may increase the …
Evolving Spiking Neural Network for Prediction Problems in Healthcare System
This paper highlights the role of evolving spiking neural networks (an enhanced version of
SNN) for predicting medical diagnosis. This article aims to focus on regression problems …
SNN) for predicting medical diagnosis. This article aims to focus on regression problems …
[PDF][PDF] A new hybrid intelligent system for prediction of medical diseases
This paper proposes a hybrid intelligent system as medical decision support tool for data
classification based on the Neural Network, Galactic Swarm Optimization (NN-GSO), and the …
classification based on the Neural Network, Galactic Swarm Optimization (NN-GSO), and the …
DISEÑO EVOLUTIVO MULTI-OBJETIVO DE REDES NEURONALES DE TERCERA GENERACION APLICADAS A RECONOCIMIENTO DE PATRONES
CA JUAREZ SANTINI - 2021 - 51.143.95.221
Abstract Artificial Neural Networks (ANNs) have been developed to mimic the dynamical
biological behavior of the brain. ANNs have been implemented to solve different kinds of …
biological behavior of the brain. ANNs have been implemented to solve different kinds of …