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[PDF] Top 20 Diagnosis of hyperlipidemia in patients based on an artificial neural network with pso algorithm

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Diagnosis of hyperlipidemia in patients based on an artificial neural network with pso algorithm

Diagnosis of hyperlipidemia in patients based on an artificial neural network with pso algorithm

... the diagnosis of blood fats are Cholesterol, LDL, triglyceride, HDL and LDL, that we measure them to used to detect blood fat ...is based on atherosclerosis, or hardening of the ... See full document

12

A New Architecture Based on Artificial Neural Network and PSO Algorithm for Estimating Software Development Effort

A New Architecture Based on Artificial Neural Network and PSO Algorithm for Estimating Software Development Effort

... a neural network, which transmit the output, can be positive or ...the network is trained by rules and data; and using network learning capability, a variety of algorithms are recommended, all ... See full document

6

Hybrid GA-PSO Optimization of Artificial Neural Network for Forecasting Electricity Demand

Hybrid GA-PSO Optimization of Artificial Neural Network for Forecasting Electricity Demand

... or PSO then it suffers from well known ...hybrid algorithm called GA-PSO, which lead to better optimization ...optimization algorithm was developed based on GA and PSO which can ... See full document

35

Dynamic Monitoring and Optimization of Fault Diagnosis of Photo Voltaic Solar Power System Using ANN and Memetic Algorithm

Dynamic Monitoring and Optimization of Fault Diagnosis of Photo Voltaic Solar Power System Using ANN and Memetic Algorithm

... monitoring based on component level is a ...fault diagnosis, the correct use of intelligent algorithm is also an ...use algorithm based on distributed on-line monitoring of photo ... See full document

11

Wireless Sensor Node Localization Algorithm Based on Particle Swarm Optimization and Quantum Neural Network

Wireless Sensor Node Localization Algorithm Based on Particle Swarm Optimization and Quantum Neural Network

... location algorithm for optimizing distance vector hopping (DV-hop) by constructing a quantum neural network model based on particle swarm optimiza- tion (PSO) is ...quantum ... See full document

11

Estimating SPT N value based on soil resistivity using hybrid ANN PSO algorithm

Estimating SPT N value based on soil resistivity using hybrid ANN PSO algorithm

... Artificial Neural Network is a type of computational model commonly used in the field of machine learning, computer science and various other research ...vast network of neurons in a ... See full document

15

ADAPTIVE COLOR FILTER ARRAY INTERPOLATION ALGORITHM BASED ON HUE TRANSITION AND 
EDGE DIRECTION

ADAPTIVE COLOR FILTER ARRAY INTERPOLATION ALGORITHM BASED ON HUE TRANSITION AND EDGE DIRECTION

... preferred based on relevancy of the models with respect to the data types chosen, which are based on statistical, rule based, logic based and artificial neural network ... See full document

7

Design of a nonlinear self tuning parameters algorithm for different 
		types of PID controllers based on artificial intelligent

Design of a nonlinear self tuning parameters algorithm for different types of PID controllers based on artificial intelligent

... parameters algorithm for two types of the PID controllers is designed, the first type is traditional PID controller and the second is nonlinear PID controller, with intelligent algorithm for nonlinear ... See full document

9

Two-phase multi-model automatic brain tumour diagnosis system from magnetic resonance images using convolutional neural networks

Two-phase multi-model automatic brain tumour diagnosis system from magnetic resonance images using convolutional neural networks

... ANN: Artificial neural network; BPN: Back propagation neural network; BraTS: Brain tumour segmentation; CAD: Computer-aided diagnosis; CNN: Convolutional neural ... See full document

10

Title: CLASSIFICATION ON BREAST CANCER USING GENETIC ALGORITHM TRAINED NEURAL NETWORK

Title: CLASSIFICATION ON BREAST CANCER USING GENETIC ALGORITHM TRAINED NEURAL NETWORK

... training neural networks are based on local search, population methods, and others such as cooperative coevolutionary models ...and PSO for weight ...(SA) PSO for the acquisition of a set of ... See full document

7

OPTIMIZATION OF HIGH VOLTAGE POWER SUPPLY FOR INDUSTRIAL MICROWAVE GENERATORS 
FOR ONE MAGNETRON

OPTIMIZATION OF HIGH VOLTAGE POWER SUPPLY FOR INDUSTRIAL MICROWAVE GENERATORS FOR ONE MAGNETRON

... of PSO algorithm to optimize the center value and width of RBF neural network and weight values from the hidden layer to the output ...optimized neural network was used for ... See full document

6

DeepFHR: intelligent prediction of fetal Acidemia using fetal heart rate signals based on convolutional neural network

DeepFHR: intelligent prediction of fetal Acidemia using fetal heart rate signals based on convolutional neural network

... AI: Artificial Intelligence; ANN: Artificial Neural Network; AUC: Area under the ROC curve; CAD: Computer Aided Diagnosis; CNN: Convolutional neural network; CWT: ... See full document

15

Pancreatic Cancer Detection and Diagnosis Expert
System using Artificial Neural Networks and
Fuzzy Logic Techniques

Pancreatic Cancer Detection and Diagnosis Expert System using Artificial Neural Networks and Fuzzy Logic Techniques

... present artificial neural network and fuzzy logic in pancreatic disease diagnosis based on a set of ...medical diagnosis which usually is employed by physicians was analysed and ... See full document

5

Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine

Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine

... of artificial intelligence (AI), primarily in medical ...of diagnosis, consideration of patient ’ s values and preferences, medical judgment, quality assurance, education, policy-making, and interventional ... See full document

10

Implementation of Neural Network Back Propagation Training Algorithm on FPGA

Implementation of Neural Network Back Propagation Training Algorithm on FPGA

... trainable Artificial Neural Network (ANN) chip, which can be trained to implement certain ...of neural networks is done off-line using software tools in the computer ...The neural ... See full document

7

A Survey on Image Clustering using Soft Computing Techniques

A Survey on Image Clustering using Soft Computing Techniques

... This algorithm introducing novel diversity regularization into the traditional fuzzy c-means ...optimization Algorithm” (BSA) it is called “BSAFCM” by which it can minimize the objective function of both ... See full document

6

Artificial immune system based on real valued negative selection algorithms for anomaly detection

Artificial immune system based on real valued negative selection algorithms for anomaly detection

... This research focuses on the use of two kinds of Real-Valued Negative Selection Algorithms, namely the RNSA and V-Detector. For benchmarked purpose, two popularly known classification algorithms; Support Vector Machine ... See full document

43

Artificial Intelligence in Diagnosing Tuberculosis: A Review

Artificial Intelligence in Diagnosing Tuberculosis: A Review

... The term “Artificial Intelligence” (AI) was coined by John McCarthy [50]. The word “AI,” was used for the first time in a workshop organized by McCarty, at Dartmouth College [51] . The workshop included M.L ... See full document

11

Dynamic Shortest Path Algorithm in Stochastic Traffic Networks Using PSO Based on Fluid Neural Network

Dynamic Shortest Path Algorithm in Stochastic Traffic Networks Using PSO Based on Fluid Neural Network

... (PSO) algorithm with priority-based encoding scheme based on fluid neural network (FNN) to search for the shortest path in stochastic traffic networks is ...proposed ... See full document

6

Survey on Credit Card Fraud Detection Methods

Survey on Credit Card Fraud Detection Methods

... techniques based on Artificial Intelligence, Data mining, Neural Network, Bayesian Network, Fuzzy logic, Artificial Immune System, K- nearest neighbor algorithm, Support ... See full document

6

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