Neural Network Based MATLAB Projects

Neural Network Based Face Recognition

In this project Self-Organizing Map is proposed to measure image similarity. The Facial images associated to the areas of great interest into the network that is neural feed. This scheme offers the results that are promising face recognition dealing with lighting variation and facial poses and expressions. The Self-Organizing Map has been particularly successful in various pattern recognition tasks involving very noisy signal after supervised fine tuning of its weight vectors.

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Back – Propagation Neural Network for Automatic Speech Recognition

In this project present MATLAB based feature recognition using back -propagation neural system for Automatic message recognition has been carried out. The aim of the task would be to explore how neural networks can be used to recognize isolated – word message as an alternative to the methodologies that are traditional. The general strategies developed here can be further extended to other applications such as for example sonar target recognition, missile monitoring and category of underwater signals that are acoustic.

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WAVELET TRANSFORM AND S-TRANSFORM BASED ARTIFICIAL NEURAL

In this project, features that characterize power quality disturbances from recorded voltage and current signals wavelet that is using and S-transform is analysed. The disturbance of interest includes sag, swell, transient and harmonics. A 25kv distribution network is simulated matlab software that is using. The feature removal has been done using wavelet change and S-transform, the coefficients are collected and directed at the neural network for the classification that is best.

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Cryptography using Artificial Neural Networks using MATLAB

A Neural Network is a machine that is designed to model the way in which the brain performs a task or function of interest. It has the ability to perform complex computations with ease. The objective of this project was to investigate the use of ANNs in various kinds of digital circuits as well as in the field of Cryptography.

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Neuro-Fuzzy Wavelet based Adaptive Mppt Algorithm for Photovoltaic Systems using MATLAB

An intelligent control of photovoltaics is necessary to ensure fast response and high efficiency under different weather conditions. This is often arduous to accomplish using traditional linear controllers, as photovoltaic systems are nonlinear and contain several uncertainties. Based on the analysis of the existing literature of Maximum Power Point Tracking (MPPT) techniques, a high performance neuro-fuzzy indirect wavelet-based adaptive MPPT control is developed in this work. The proposed controller combines the reasoning capability of fuzzy logic, the learning capability of neural networks and the localization properties of wavelets. In the proposed system, the Hermite Wavelet-embedded Neural Fuzzy (HWNF)-based gradient estimator is adopted to estimate the gradient term and makes the controller indirect. The performance of the proposed controller is compared with different conventional and intelligent MPPT control techniques. MATLAB results show the superiority over other existing techniques in terms of fast response, power quality and efficiency

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Traction Power System Capacity Limitations at Various Traffic Levels using MATLAB

The aim, and main contribution, of this paper is to propose a fine-tuned fast approximator, based on neural networks, that uses aggregated traction system information as inputs and outputs. This approximator can be used as an investment planning constraint in the optimization. It considers that there is a limit on the intensity of the train traffic, depending on the strength of the power system.

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A pattern recognition method for electronic noses based on an olfactory neural network Using MATLAB

Artificial neural networks (ANNs) are generally considered as the most promising pattern recognition method to process the signals from a chemical sensor array of electronic noses, which makes the system more bionics. This paper presents a chaotic neural network entitled KIII, which modeled olfactory systems, applied to an electronic nose to discriminate six typical volatile organic compounds (VOCs) in Chinese rice wines. Thirty-two-dimensional feature vectors of a sensor array consisting of eight sensors, in which four features were extracted from the transient response of each TGS sensor, were input into the KIII network to investigate its generalization capability for concentration influence elimination and sensor drift counteraction. In comparison with the conventional back propagation trained neural network (BP-NN), experimental results show that the KIII network has a good performance in classification of these VOCs of different concentrations and even for the data obtained 1 month later than the training set. Its robust generalization capability is suitable for electronic nose applications to reduce the influence of concentration and sensor drift.

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Control of Temperature Using Fuzzy System Technique using MATLAB

Fuzzy control is based on fuzzy logic. A logical system that is much closer in spirit to human thinking and natural language than traditional crisp logical systems. The fuzzy logic variables are not described as true or false values. Instead values range in degree between 0-1,true-false or yes-no.

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Design and Real-Time Controller Implementation for a Battery-Ultra-capacitor Hybrid Energy Storage System using MATLAB

Two real-time energy management strategies have been investigated for optimal current split between batteries and ultra capacitors (UCs) in electric vehicle (EV) applications. In the first strategy, an optimization problem is formulated and solved using Karush-Kuhn-Tucker (KKT) conditions to obtain the real-time operation points of current split for the hybrid energy storage system (HESS).

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A MATLAB based Face Recognition System using Image Processing and Neural Networks using MATLAB

Automatic recognition of people is a challenging problem which has received much attention during recent years due to its many applications in different fields. Face recognition is one of those challenging problems and up to date, there is no technique that provides a robust solution to all situations. This paper presents a new technique for human face recognition. This technique uses an image-based approach towards artificial intelligence by removing redundant data from face images through image compression using the two-dimensional discrete cosine transform (2D-DCT). The DCT extracts features from face images based on skin color. Feature-vectors are constructed by computing DCT coefficients.

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MATLAB/Simulink Implementation and Analysis of Three Pulse-Width-Modulation (PWM) Techniques using MATLAB

With advances in solid-state power electronic devices and microprocessors, various pulse-width-modulation (PWM) techniques have been developed for industrial applications. For example, PWM-based three-phase voltage source inverters (VSI) convert DC power to AC power with variable voltage magnitude and variable frequency.

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Face Detection Project using MATLAB

The goal of this project is to detect and locate human faces in a color image. A set of seven training images were provided for this purpose. The objective was to design and implement a face detector in MATLAB that will detect human faces in an image similar to the training images. The problem of face detection has been studied extensively. A wide spectrum of techniques have been used including color analysis, template matching, neural networks, support vector machines (SVM), maximal rejection classification and model based detection. However, it is difficult to design algorithms that work for all illuminations, face colors, sizes and geometries, and image backgrounds. As a result, face detection remains as much an art as science.

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Individual Stress Diagnosis From Skin Conductance Sensor Signals using MATLAB

Human stress has become a serious problem affecting people’s life. The current state of sensor technology allows developing systems measuring physical symptoms reflecting people’s stress level. However, the detection of stressful events using the skin conductance (SC) and finger temperature (FT) data is a challenging task due to varieties of patterns in the data. Also each person handles stress in a different way.

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Power Load Balancing Using Fuzzy Logic using MATLAB

Overloading is a major problem as there is no any system to ensure the consumer power usage. For example, weather conditions can change the consumer usage and extreme weather conditions can cause overloading. So when there is no way to determine consumer usage, the one alternative is load balancing. Load balancing is very important feature that keeps the system safe from overloading. When one area is overloaded, the loads can be transferred to the less loaded areas using switches. And load balancing provides how much load has to be transferred to maintain system within limits. The other way is to control using automatic generation control (AGC).

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Security Systems for Remote Farm using MATLAB

This paper presents a security system for a remote farm. This research is ideal for locations where real time monitoring and notifications are paramount to your security wherein the image(s) detected through a surveillance system is processed by the newly advanced technology such as Open-source Computer Vision programming, Matlab programming and Artificial Intelligence Network. The research is all about detection process through Open-Source Computer Vision programming wherein multiple object detection can be applied. Future recommendations for image processing and recognition can be used through Matlab programming technology and Artifical Intelligence Network Technology.

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