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43 articles for “Feed Forward”
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Power Estimation for VLSI Circuits Using Neural Networks
Abstract: Neural network based VLSI power estimation is done which estimates power in VLSI circuits from its input/output and gate information, without simulation and analysis of its detail structure and the interconnections.Artificial neural network is created which helps in estimation of power. Power estimation results from the [2] [3]are used as the training vector for the network .The network is trained using Back-propagation algorithm. Asimple recurrent network is also introduced called …
Published in Journal of VLSI Design Tools and Technology · Vol. 1, Issue 1-2-3, 2011 · pp. 45–56 Read article
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Design of Beam using Artificial Neural Network based Approach
Abstract: Recent developments in artificial neural network (ANN) have opened up new possibilities in the field of structural engineering. This paper demonstrates the applicability of ANN for the design of beams subjected to moment and shear. An attempt has been made to capture the mapping between the design variables using ANN. There is no direct method for design of beams. A feed forward network and back propagation training algorithm has been …
Published in Recent Trends in Civil Engineering & Technology · Vol. 4, Issue 3, 2014 · pp. 1–6 Read article
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Performance Analysis of FIR Digital Filter using Artificial Neural Network for ECG Signal
Abstract: AbstractIn performance of electrocardiography (ECG) signal, signal acquisition must be noise free. This paper deals with the application of the digital finite impulse response (FIR) filter on the raw ECG signal. In this paper different window techniques used to design FIR filter and their signal to noise ratio are compared. The dataset configured for multilayer perceptron (MLP) training with feed forward algorithm. Finally the MLP is trained and the results …
Published in Journal of Communication Engineering & Systems · Vol. 3, Issue 2, 2013 · pp. 28–32 Read article
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Artificial Neural Network Model for Stock Market Forecasting
Abstract: AbstractIn recent years, many attempts have been made to predict the behavior of bonds, currencies, stocks or stock markets. Neural networks, as an intelligent data mining method, have been used in many different challenging pattern recognition problems such as stock market prediction. The aim of this paper is to predict stock market using artificial neural networks (ANNs). The authors used feed forward neural network trained by back-propagation algorithm to make …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 1, 2014 · pp. 7–12 Read article
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Automatic Gain Control Amplifier for Analog Front End in Biomedical Applications
Abstract: This paper presents the design review of feed-forward automatic gain control (AGC) amplifier to be used in analog front end of biomedical applications such as hearing aid. To make system low-power, the design of each block is optimized and all elements are realized using MOS. The whole design is simulated in LT spice IV using 0.18 µm CMOS technology and the results are presented. Keywords: Automatic gain control (AGC), biomedical …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 5, Issue 3, 2016 · pp. 22–26 Read article
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Automated Thyroid Nodule Detection in Ultrasound Image using Optimal Neural Network Classifier
Abstract: Malignant thyroid nodule detection is an important issue in thyroid ultrasonography image processing. Literature reports many algorithms in this domain. This research aims to design optimal decision support system (DSS) for ultrasound thyroid nodule image characterization into benign and malignant classes. Thyroid nodule region is segmented to extract texture features from thyroid nodule ultrasound images acquired from 38 patients using gray level co-occurrence matrix (GLCM) and statistical properties. These features …
Published in Journal of Advancements in Robotics · Vol. 2, Issue 2, 2015 · pp. 15–25 Read article
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Enhancing Language Modelling with RNN and LSTMbased Next Word Prediction
Abstract: A growing field of study, natural language processing is utilised in many different contexts. We frequently text each other, and we have noticed that whenever we type a message, a recommendation pops up to try to guess what word we will write next. The task of anticipating the next word is known as next word prediction or language modelling. This makes them highly effective for tasks such as language modelling, …
Published in Journal of Advanced Database Management & Systems · Vol. 10, Issue 1, 2023 · pp. 20–24 Read article
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Analysis Of Gradient Descent In Back Propagation Neural Network For Maximum And Efficient Utilization
Abstract: The back-propagation is a successfully established algorithm for multi-layered perceptron neural networks, which is usuallywith successfully for tiny network architectures or small tasks. In this paper we have highlighted the important libraries for thepurpose of implementation of neural networks. After that we have given the process of feed forward in neural network and howwe optimize this process by updating the weights by going backward towards the previous layers. The Author …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 9, Issue 1, 2022 · pp. 21–30 Read article
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Call Admission Control in ATM Networks using Interval Arithmetic CEN
Abstract: Call admission control (CAC) is one of the most fundamental preventive congestion control mechanisms in asynchronous transfer mode (ATM) networks. Call admission control is further complicated by the diverse mix of traffic types and service requirements and by the increasing speed of transmission. In this project, the focus is on a call admission control with interval arithmetic coulomb energy network, a generalization of coulomb energy network (CEN), which can handle …
Published in Journal Of Network security · Vol. 2, Issue 3, 2014 · pp. 12–21 Read article
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Calcareous Soil as a Promising Adsorbent to Remove Fluoride from Aqueous Solution: Equilibrium, Kinetic and Thermodynamic Study
Abstract: Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 In this work, the feasibility of employing calcareous soil to remove fluoride ions from its aqueous solutions was investigated under batch mode. The influence of solution pH, sorbent dose, initial fluoride concentration, contact time, stirring rate and temperature on the removal process were investigated. The equilibrium adsorption data were analyzed using Langmuir, Freundlich and Temkin isotherm models. The kinetics of fluoride …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 3, Issue 3, 2012 · pp. 1–21 Read article
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An Application of Artificial Neural Networks for Air Quality Prediction of SO2 Concentrations in Calabar Metropolis
Abstract: The past few years have seen intense enhancements in our aptitude to simulate complicated physical systems using computers, which has led to the use of artificial neural networks (ANNs) in various capacities of scientific research. The artificial neural network has been applied to various ecological pollution complications and which has revealed some degree of precision. The study aims to advance a neural network air quality forecast model for the complex …
Published in Research & Reviews : Journal of Physics · Vol. 9, Issue 3, 2020 · pp. 8–11 Read article
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Obstruction Organizing Network Based Protocol Using Congestion Free Router
Abstract: AbstractThe web’s wonderful quantifiability and strength lead to half from the end-to-end nature of internet congestion management. End-to-end congestion management algorithms alone, however, are unable to stop the congestion collapse and unfairness created by applications that are unresponsive to network congestion. To address these maladies, I propose and investigate a unique congestion-avoidance mechanism referred to as Congestion Free Router (CFR). CFR entails the exchange of feedback between routers at the …
Published in Journal of Web Engineering & Technology · Vol. 5, Issue 1, 2018 · pp. 1–5 Read article
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Development of an Open Source Modular Control System for Articulated Robotic Arm
Abstract: An open source modular control system architecture consist of different control modules for motion control, path planning, sensory feedback etc. which all can be extremely beneficial to develop an integrated control system for an articulated robotic arm. In this proposed work, different open source robot control software was being identified and an optimized modular robot control system was developed for controlling the articulated robotic arm. The control system was being …
Published in Journal of Advancements in Robotics · Vol. 3, Issue 2, 2016 · pp. 1–9 Read article
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MAC Unit Implementation on FPGA
Abstract: Multiply–accumulate (MAC) computations account for a large part of machine learning accelerator operations. The pipelined structure is usually adopted to improve the performance by reducing the length of critical paths. An increase in the number of flip-flops due to pipelining, however, generally results in significant area and power increase. Using this method, we create and build a cutset-free feedforward MAC architecture that maximizes data propagation and removes superfluous pipeline registers. …
Published in Journal of Microcontroller Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 29–37 Read article
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Bridging Brain-Inspired Learning and Quantum Reasoning for Future AGI Systems
Abstract: This research paper presents a novel neuromorphic–quantum hybrid computing framework envisioned to advance intelligent systems toward artificial general intelligence. The architecture integrates brain-inspired spiking networks for adaptive, energy-efficient learning with quantum processors for non-classical optimization and reasoning. A shared synaptic–quantum memory layer enables dual information representation, while neuromorphic adaptive controllers provide real-time stabilization of noisy quantum circuits. While quantum processors offer features like superposition- enabled exploration and entanglement-based correlations that …
Published in Current Trends in Signal Processing · Vol. 16, Issue 1, 2026 · pp. 1–9 Read article
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ClgJone: A Flutter-Based Real-Time Social Platform for Student Housing and Community Integration
Abstract: Student housing and roommate search is a scattered field which mostly sees itself out for community building and trust within a college setting. We present ClgJone which is a Flutter based, Firebase supported student centered mobile app that puts together roommate match up, community news feed, and secure real time messaging into one campus wide platform. The app is for university students and it has authorization, roommate finders, chat, community …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 2, 2026 Read article
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Autonomous Agentic AI for Adaptive Cure Optimization and Defect Prevention in Thermoset Polymer Composite Manufacturing
Abstract: Thermoset polymer composites occupy a central position in modern structural manufacturing, from aircraft fuselages to wind-turbine blades. Despite progress in resin chemistry and fiber architecture, the “cure process” that transforms compliant preforms into load-bearing structures remains difficult to manage. Manufacturers encounter ‘voids’, “interlaminar delaminations”, and “spring-back distortion” when curing complex or thick-section parts. The cause is not ignorance of the relevant physics, but rather that ‘temperature’, ‘chemistry’, ‘rheology’, and ‘mechanics’ …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 301–320 Read article
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Looking into new ideas in green chemistry
Abstract: Green chemistry has become a revolutionary way to change chemical processes such that they have less of an effect on the environment while still being efficient and cost-effective. This article looks at new developments in green chemistry that go beyond small changes and offer completely new ways to build chemicals that are good for the environment. There is a lot of focus on innovative catalytic systems, sustainable feedstocks, reaction pathways …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 1, 2026 · pp. 10–18 Read article
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An Innovative Approach of the Analysis of the Low Noise of a CMOS-Based Amplifier for Analog Signal-based Applications
Abstract: A low-noise amplifier (LNA), which is based on the cascode feedback methodology, has been commonly used for various wireless protocol-based network applications nowadays. It is so because this topology ensures that the low-noise amplifier (LNA) can achieve quite a high performance and thus, provides a high qualitative output. This amplifier is operated with a low voltage supply in the range of few volts that requires that the impedances of the …
Published in Journal of VLSI Design Tools and Technology · Vol. 2, Issue 1-2-3, 2012 · pp. 7–15 Read article
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Demonstration and Evaluation of Improved Chickens under Farmers’ Management Conditions at Godoro Sub-Watershed, Gerese District
Abstract: The study commenced with the objective of demonstration and evaluation of an improved chicken breed's performance under farmers’ management conditions in Bula Kebele, Gerese district of Gamo zone. A total of 21 participant households were selected purposely based on their experience and willingness to construct a chicken house, covering chicken-rearing costs, and recording the required data. Training on chicken husbandry, healthcare, feeds and feeding systems was provided for the participants, …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 61–69 Read article