neural network-based data analysis model
Evaluation of quality of teaching based on BP neural network
... of neural networks, adaptability, strong associative memory, self-discovery rules and other correspondence between the data advantages, proposed a BP neural network method of evaluation of ...
6
Clustering Analysis of Human Finger Grasping Based on SOM Neural Network Model
... Maps) model was introduced to cluster and analyse on the human grasping activities of GloveMAP based on data reduction of the initial grasping ...the data reduction of the initial hand ...
5
Performance analysis of neural network based control of hypnosis and analgesia during anesthesia by employing a pharmacokinetic pharmacodynamic model
... Internal Model Control (IMC) philosophy relies on the Internal Model Principle, which states that control can be achieved only if the control system encapsulates, either implicitly or explicitly, some ...
7
A Common Neural Network Model for Unsupervised Exploratory Data Analysis and Independent Component Analysis
... variable model of data and briefly reviews the ICA data ...for data visualisation and ...density model [19] for cluster identification is utilised as the non-linear term for the ...
19
Artificial Neural Network Based Data Mining
... In data mining neural network methodology is used for classification, clustering, feature mining, prediction and pattern ...training data mining, the neural network method ...
6
Neural Network in Big Data Analysis
... A neural network, more precisely referred to as Artificial Neural Network (ANN), is a quite difficult data analysis ...is based on a well-defined architecture of many ...
6
A SHORT-TERM TRAFFIC FLOW FORECASTING METHOD BASED ON STATE IDENTIFICATION.
... which based on the state of distinguish.It uses wavelet analysis to decompose and reconstruct historical traffic data (traffic flow, speed and density), to obtain traffic flow threshold parameter ...
7
A survey on neural network models for data analysis
... Artificial Neural Network (ANN) is an information-processing archetype that draws inspiration from biological nervous systems, like the brain, in order to process ...simulate neural behavior upon ...
5
FLEXIBLE SHARING IN DHT BASED P2P NETWORKS USING METADATA OF RESOURCE
... evaluation model based on the fuzzy number theory. As this model has a high degree of subjectivity, this article combines RBF neural network model and data envelopment ...
8
Research on Early Warning Model of College Students' Psychological Crisis Based on Genetic BP Neural Network
... student data have been accumulated and precipitated in the campus center database of colleges and ...campus data of 1504 college students were collected on one data center of a college, and the ...
9
Co-Attention Based Neural Network for Source-Dependent Essay Scoring
... essay analysis, Rahimi et al. (2014, 2017) devel- oped a set of rubric-based features that compared a student’s essay and a source article in terms of number of related words or ...their model by ...
11
Abstract
... Artificial neural network analysis was run on a personal computer using STATISTICA NEURAL NETWORKS ...artificial neural network based on a multilayer perceptron consisting ...
6
A MULTI CONTEXT EMBEDDING MODEL BASED ON CONVOLUTIONAL NEURAL NETWORK FOR TRAJECTORY DATA MINING
... utility analysis was introduced which develop the link prediction ...networks based on multi stage observation of dynamic ...2016) based on collective behaviour data in location based ...
9
Brain MRI Classification Using PNN and Segmentation Using K Means Clustering
... wavelet based feature extraction method and Support Vector Machine (SVM), Accuracy of only 65% was ...SVM based classification of brain ...Probabilistic Neural Network (PNN) model that ...
8
Prediction of gas emission quantity using artificial neural networks
... Figure 1 shows the main structure of the ANN [4]. It is mainly made up of input layer and output layer. The input layer introduces the input variables to the network. The output of the nodes in this layer ...
5
Real-time face recognition system using radial basis function neural networks
... Low Level Analysis ,..-- Feature-Based r-- Feature Analysis Approach .._ Active Shape Model Face Detection 1-- Linear Subspace r- Image-Based '-- Method Neural Network Approach - Statist[r] ...
24
Estimation of groundwater level using a hybrid genetic algorithm-neural network
... of neural networks, which is utilized in the most frequently mentioned studies for aquifers ...forward neural network; therefore, numerical weights of neuron connections and biases represent the ...
13
Brain Tumor Segmentation from Multi modality MRI Data Based on Tamura Texture
... a neural network having three or more layers of ...and network scale of the BP neural network, clustering and other problems can be realized, and any nonlinear function can be ...
6
Research on Financial Early Warning of Listed Corporation Based on SOM Fusion BP Neural Network
... the model algorithm put forward here is of high accuracy of recognition for short-run economic ...the model of SOM automatically matches the number of non-ST and ST company samples and excludes poor ...
10
APPLICATIONS OF NEURAL NETWORK RECOGNIZED AS INTERDISCIPLINARY STREAM BY DATA MINING
... of Neural Network Recognized as Interdisciplinary by Data Mining in the field of research and ...technology. Neural networks have emerged as advanced data mining tools in cases where ...
6