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43 articles for “Feed Forward”
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Enhancing Data Security Via the Application of Back- Propagation Feed-Forward Methods in Encryption
Abstract: The computer society uses a variety of automated methods for file security and data storage. Several organisations are concerned about the information exchange via an unsecured network for a distributed architecture, such as the time-sharing and real-time system. Probably the most crucial element that contributes to effective security is cryptography. Using a constant weighted factor for boosting the factor, the study aims at extending or updating the earlier presented Artificial …
Published in Journal of Open Source Developments · Vol. 9, Issue 3, 2022 · pp. 13–17 Read article
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Design and Development of Agrobot Using Feed Forward Network for Smart Farming Agriculture
Abstract: The Agrobot framework is a form of natural language processing that requires training to understand human language and meet user needs accordingly. The development of a chatbot tailored for the agricultural industry represents a significant advancement in agricultural technology. This chatbot serves as an interactive tool to assist farmers in various aspects of agricultural practices, including crop management, pest control, weather forecasting, and market information. The main objective of this …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 1, 2024 · pp. 6–14 Read article
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Modeling and Simulation of Feed Forward Temperature Controller with Effect of Higher Gain on Chemical Reactors Heat Exchangers
Abstract: Chemical reactors are widely used in pharmaceutical process industries. The temperature controller design is an essential part of heat exchangers (HE) design for such reactors. The goal of this research is to design and validate the Feed Forward (FF) temperature compensator for the stared tank chemical rectors. The aim is to analyze the impact of high turbulence (Gain) performance on step response. For temperature management, a transfer function (TF) control …
Published in Journal of Thermal Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 30–40 Read article
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A Novel Strategy for Weight Initialization in Sigmoidal Feed-forward Artificial Neural Networks
Abstract: In this paper, a novel method of weight initialization is proposed. The proposed method of weight initialization distributes the initial weights and thresholds in such a manner that they lie in different regions of the activation function used at the hidden layer. The proposed method is compared with six other popular weight initialization methods on ten function approximation problems using the RPROP (Resilient Back-propagation) and Levenberg-Marquardt algorithms for training. Two …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 1, 2018 · pp. 62–75 Read article
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An Efficient Method of Fault Analysis using Artificial Neural Network
Abstract: In the power system, there are many techniques to identify and classify the faults. So, it is utmost important to choose the suitable technique. In this paper, a novel technique based on ANN have been proposed. When abnormal conditions occur in the system, the purposed method identifies and classify the fault to protect the system from the faults and stop from the big hazards. Simulation of purposed Simulink model have …
Published in Current Trends in Signal Processing · pp. 9–25 Read article
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Role of Hybrid Controller Based FACTS Devices in Relieving Power Crisis
Abstract: The power crisis is a global concern for research and development engineers. These issues may be summarized manifold. These issues may be sudden outage/ failure of power system network, considerable power loss on the line, the voltage flickers, lack of proper equipment’s to monitor and protection, presence of significant harmonic level in the line that affects the performance of the equipment connected to line. Some of these issues may persist …
Published in Recent Trends in Electronics Communication Systems · Vol. 9, Issue 1, 2022 · pp. 1–10 Read article
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Application of Radial Basis Function Neural Network in Power Quality Events Classification
Abstract: Power Quality concerns have become more important as the Smart Grid has evolved. Computers, microprocessor-controlled electronic loads, and power electronic devices are all used in urban development. Disturbances in power quality are caused by these electronic devices. Variations in the amplitude and frequency of system voltages and currents from their nominal levels identify PQ difficulties. We offer a hybrid technique to accomplishing this goal in this paper. To classify PQ …
Published in Trends in Electrical Engineering · Vol. 12, Issue 1, 2022 · pp. 20–40 Read article
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Optical Character Recognition Using Back Propagation Neural Network
Abstract: This paper represents an Artificial Neural Network (ANN)-based approach for the recognition of English characters using feed-forward neural network. Noise has been considered as one of the major issues that degrades the performance of character recognition system. Our feed forward network has one input, one hidden, and one output layer. The entire recognition system is divided into two sections, namely training and recognition section. Both the sections include image acquisition, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 2, 2016 · pp. 11–18 Read article
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Management of Health Information Technology in Indian Hospitals
Abstract: As more and more Indian hospitals have started looking at and implementing health information technology (HIT) solutions for the future, a need to understand the issues in management of HIT is strongly felt. This study aims to understand the elements in making HIT a success in Indian hospitals. A focus group discussion was carried out with 10 administrators from three super-specialty hospitals in Karnataka, India, during the first week of …
Published in Research and Reviews: A Journal of Health Professions · Vol. 2, Issue 1, 2012 · pp. 12–16 Read article
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Adaptive Routing Protocol to Optimize the Quality of Service of MANET Using Neural Network
Abstract: A MANET is a group of mobile nodes that create a temporary network without relying on centralized administration or standard supporting devices, often functioning as a conventional network. These dynamic environments present significant challenges for traditional routing and switching protocols, particularly in delivering Quality of Service (QoS) benchmarks such as bandwidth, latency, packet delivery ratio, and robustness. This study proposes an Adaptive Routing Protocol (ARP) leveraging Neural Network (NN) techniques …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 3, 2025 · pp. 01–09 Read article
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Thermal Performance of Flat Tube Louver Fin Heat Exchanger using Artificial Neural Network
Abstract: In this paper, an application of artificial neural networks (ANNs) is presented to predict the outlet temperatures on both fluid side of flat tube louver fin type heat exchanger used in flat tube louver fin heat exchanger. A validated numerical code is developed using MATLAB to generate huge data sets which gives outlet temperature of both the fluids. Three-layer feed-forward back propagation neural network is developed to model the thermal …
Published in Journal of Thermal Engineering and Applications · Vol. 4, Issue 3, 2017 · pp. 6–12 Read article
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Temperature Control of Heat Exchanger using Sliding Mode Control Law
Abstract: Shell and tube heat exchanger system is widely used in chemical plants as it sustains wide range of temperature and pressure. The main purpose of heat exchanger is to transfer heat from a hot fluid to a cooler fluid, so temperature control of outlet fluid is having prime importance. To control the temperature of outlet fluid of shell and tube heat exchanger, a conventional PID controller can be used. But …
Published in Journal of Control & Instrumentation · Vol. 6, Issue 1, 2015 · pp. 14–26 Read article
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Model Reference Adaptive Controller for Non-Linear Processes
Abstract: This paper presents the application of adaptive controller for three different non-linear processes and analysing the effect of the controller for three systems which are having different levels of non-linearities. The controller chosen is a direct model reference adaptive controller (DMRAC) for adjusting the feed forward gain using MIT rule. The non-linear systems considered are cylindrical tank, conical tank and spherical tank. The model reference adaptive controller is designed and …
Published in Journal of Control & Instrumentation · Vol. 3, Issue 1-3, 2012 · pp. 58–65 Read article
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Performance Investigation on Boost Converter with Non-Isolated Coupled Inductor Using PSO-DFFP Controller with Stand-Alone PV System
Abstract: The stand-alone PV system with a Partial Swarm Optimization with Distinctive Feed Forward Propagation (PSO-DFFP) controller based Boost converter is designed with coupled inductor has been simulated. The steady state / dynamic performance of the proposed system have been analyzed using MATLAB simulation. The proposed controller has been developed to decrease ripple and improve the efficiency of the system. However, the linear controllers are influenced by the system parameters of …
Published in Journal of Control & Instrumentation · Vol. 13, Issue 1, 2022 · pp. 32–49 Read article
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PSO-DFFP Technique Used for Optimal Network Reconfiguration with Dispersed Generation
Abstract: Dispersed Generation and Network Reconfiguration have been generally engaged to maintain voltage level with permissible limit and decrease the energy losses in the Distribution Systems. In this article, a Partial Swarm Optimization with Distinctive Feed Forward Propagation (PSO-DFFP) controller is developed to minimize the power losses in Dispersed Generation and network reconfiguration. Different scenarios are used to analyze the performance of developed method. The designed and developed method is effectively …
Published in Journal of Control & Instrumentation · Vol. 13, Issue 2, 2022 · pp. 1–8 Read article
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Modeling of Sintering Process for the Preparation of Magnetic Abrasives by RSM and ANN Models
Abstract: In this study, a modeling has been done for the prediction of the sintering process, as sintering process is one of the best processes to prepare magnetic abrasives. The sintering process is modelled by using RSM and ANN techniques. The ANN model has been developed using a multilayer feed-forward neural network and trained with the help of an error backpropagation learning algorithm based on the generalized delta rule. The indication …
Published in Journal of Experimental & Applied Mechanics · Vol. 10, Issue 3, 2019 · pp. 5–12 Read article
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Effect of Various Process Parameters on MRR in Manual Air Plasma Arc Cutting of AISI 1017 Mild Steel using ANN
Abstract: As per recent industrial surveys it is investigated that manufacturing companies define the quality of thermal cutting process by the dimension of work material and cutting surface appearance. Therefore, the surface roughness and material removal rate (MRR) are primarily considered. In this work the effect of three input parameters air pressure (P), cutting current (I) and cutting velocity (v) on material removal rate (MRR) is obtained experimentally. An artificial neural …
Published in Journal of Mechatronics and Automation · Vol. 2, Issue 2, 2015 · pp. 8–14 Read article
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Comparison of RSM and ANN Modeling Approaches in Predicting the Laser Phase Transformation Hardening Parameters on the Heat Input and Hardened-Bead Profile Quality of Unalloyed Titanium
Abstract: In the present work, laser transformation hardening (LTH) of unalloyed titanium, nearer to ASTM Grade 3 of chemical composition was investigated using CW 2kW, Nd: YAG laser. The laser process variables such as laser power, scanning speed, and focused position play a major role in deciding the laser hardened bead quality. Two methods, Response Surface Methodology (RSM) and Artificial Neural Network (ANN) were used to predict the heat input and …
Published in Journal of Materials & Metallurgical Engineering · Vol. 5, Issue 1, 2015 · pp. 36–59 Read article
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Simulation and Design of PI-Controller for the Control of Buck Converter
Abstract: AbstractIn this paper, a proportional-integral (PI) controller is designed for the control of Buck converter to maintain its output as a constant for a varying input supply. To meet the power needs of a constant output, this study examines the DC / DC converter with primarily focusing on the design of PI controller for the control of Buck converter. This study was simulated using MATLAB/Simulink, and it was followed by …
Published in Journal of Microelectronics and Solid State Devices · Vol. 7, Issue 1, 2020 · pp. 26–33 Read article
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Comparative Analysis of Artificial Intelligence-based MPPT Algorithms for Wind Energy System
Abstract: By extracting maximum possible power from a wind generator system, the efficiency of the system can be increased. Radial basis function (RBF), feed forward back propagation (FFBP) and adaptive neuro-fuzzy inference system (ANFIS) are recognized as the universal estimators. This paper presents a single network based maximum power point tracking (MPPT) of a wind turbine system using these algorithms. The single network based maximum power extraction method is simple and …
Published in Journal of Power Electronics and Power Systems · Vol. 10, Issue 3, 2020 · pp. 7–18 Read article