مقالات حوزه «Neural Network»

A combinational method for Robust Speech Recognition Using Microphone Array and Neural Network

A dynamic nonlinear model for a real HRSG Boiler based on input-output data

In this study, a dynamic nonlinear model for a drum HRSG boileris presented The applied data are obtained from a real combined cycle power plant 'Nek…

Application of Neural Network and FEM to Optimize Load Path of T-shape Tube Hydro Forming

During tube hydroforming THF process, failure modes such as buckling, necking and bursting may occur because axial feeding and internal pressure are…

Performance of Bayesian Regularization Neural- Network in Prediction of Surface Roughness

Surface roughness is one of the essential quality characteristics that must be precisely controlled Artificial neural network modeling is a method of…

Software Reliability Prediction Model Based On Ica Algorithm and Mlp Neural Network

To achieve the high performance system without any failure, we should provide the high reliability level of software Soft computing models for softwa…

An Advance Modeling and Control Strategy for a Real Freeway

In this paper an advance modeling and control strategy for a real freeway a based on neural networks and model predictive control is proposed Because…

Warpage Minimization in The Plastic Injection Moulding Using FE Analysis, ANN Model and Genetic Algorithm

In this paper, a method of plastic injection parameters optimization to reduce warpage has been presented A preform part of mineral water bottle whic…

Creep Feed Grinding Forces Prediction Using Neural Network

The aim of this paper is to model and predict the grinding forces of the creep feed grinding using the neural network This model is then used to sele…

Initial Blank Shape Prediction in Deep Drawing Process for Polygon Flange Shapes Using Neural Network

A new technique for prediction of initial blank shape in deep drawing process is proposed in this paper using the neural network A three layer neural…

Utilizing artificial neural network to measure stream flow in flood plain (Case study: Sepidroud watershed)

In this paper, stream flow forecasting in long term series of time, has been investigated by ANN model For knowing the hydrological behavior and wate…

شبکه های عصبی مصنوعی

E-optimization Capable Neural Network for Portfolio Selection Chance-Constrained Programming Model

This paper presents a neural network model to solve the portfolio selection problem when security returns are uncertain variables Two types of portfo…

Retinal Identification Using Wavelet Maxima Moduleand Hough Transform

Automatic Farsi License Plate Recognition Using Morphological Functions and Artificial Neural Network for Online Applications

In this Paper, a new algorithm for license plate recognition is proposed, which is followed by a neural network in order to recognize the characters…

Prediction of Hot Machining Force by Using Artificial Neural Network

Hot machining is one of the most suitable methods for machining hard and super hard materials, which have high corrosive resistance and strength Affe…

Using Artificial Neural Network with Genetic Algorithm to Estimate the Relationship between Operational Variables in Hydrodynamic Bearing and Acoustic Emission Features

Artificial neural network ANN with genetic algorithm GA method is used to find the correlation between operational values as an input Speed, oil type…

Peak Hour Traffic Volume Prediction using a Hybrid Genetic Neural Method

Accurate prediction of short term traffic flow plays a fundamental role in theIntelligent Transportation Systems ITS and Advanced Traffic ManagementS…

Microstructure-UTS correlation of Nb-DP steels using neural network

In this study, the effect of controlled rolling significant parameters on ferrite grain size and martensite volume fraction of dual phase DP steels w…

Prediction and analyze of microstructure of DP steels produced by controlled rolling process using neural network

In this study, the effect of controlled rolling parameters: reheat temperature, finishing temperature, finishing pass strain, interval time between f…

Wind speed forecasting using Multi-Layer Perceptron (MLP) neural network

The electricity production of wind farms is fluctuating because its dependency on the wind speed, so, improving of technical and economic integration…

The Optimization of the Structures and Weights of a Neural Network by Means of an Evolutionary Algorithm

Many structures and models are available to design a neural network The accuracy of a neural network depends on its structure, the number of layers…

A protocol for optimizing travel time and accessing the shortest route in metropolitan areas using dynamic routing and neural networks algorithms

with the advancement of communication systems, intelligent traffic systems play an important role in optimizing the traffic flow in large and densely…

Classifies the Input Sound Waves Using Neural Network and Sequence Learning Model

Prediction of effect of microstructure on ultimate tensile strength of Ni-DP steels produced by controlled rolling process using neural network model

In this investigation, the effect of microstructure on ultimate tensile strength UTS of dual phase DP steels with niobium was investigated Microstruc…