back propagation (BP)
Diagnosis of thyroid disorders using Back propagation method
... decisions propagation algorithm is ...where back-propagation algorithm is applied and trains the given thyroid ...disorders. Back propagation algorithm has been applied to many pattern ...
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Optimizing Back Propagation using PSO Hill A* and Genetic Algorithm
... and Back Propagation (BP) algorithm, referred to as HPSOBP algorithm, is proposed to evolve the optimum large neural network structure, connecting weights and bias values for one-day ahead electric load ...
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Back – Propagation Control Algorithm for Power Quality Improvement using DSTATCOM
... limitations Back Propagation (BP) and improved linear sinusoidal tracer algorithm (ILST) have been proposed in this paper to achieve harmonic ...improved Back Propagation and linear sinusoidal ...
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The effect of adaptive parameters on the performance of back propagation
... Since the sigmoid derivative which appears in the error function of the conventional BP algorithm has a bell shape, it sometimes causes slow learning convergence when output of a unit is near 0 or 1. In order to overcome ...
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Accelerated Gradient Descent Using Instance Eliminating Back Propagation
... In this study, another approach is taken to further accelerate the BGD convergence. Hypothetically speaking, during each training iteration, the FP makes a certain prediction for instances in a batch. The author ...
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GPU-based multiple back propagation for big data problems
... Multiple Back Propagation (MBP). The MBP is a generalization the BP since it combines two Feed Forward networks (Fig 3); the space network and the main network. Both networks whose topology might not ...
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Bat BP: a new bat based back propagation algorithm for efficient data classification
... particularly back propagation algorithm is a complex task of great importance in the field of supervised ...with back-propagation neural network (BPNN) algorithm in-order to gain optimal ...
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Prediction Of Heart Disease Using Back Propagation MLP Algorithm
... with Back Propagation algorithm is used to develop the ...(Back Propagation ) algorithm for MDDSS (Medical Diagnostic Decision Support ...
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An Approach to Handwriting Recognition using Back Propagation Neural Network
... Handwriting Recognition is an important topic in Computer Science. In this paper a procedure is presented to identify characters that are drawn using stylus with the help of Back- Propagation Neural ...
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Optimizing Back-Propagation Gradient for Classification by an Artificial Neural Network
... the back-propagation of the gradient, which operates an iterative approximation along the line of the steepest slope, could be improved by the conjugate gradient algorithm with the search for a minimum ...
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PRIVACY PRESERVING BACK PROPAGATION NEURAL NETWORK IN CLOUD COMPUTING
... Preserving Back Propagation Algorithm for a Vertically Partitioned ...of back propagation which allows a neural network to be trained without requiring either party to reveal her data to the ...
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An Improved Back Propagation Neural Network Model and Its Application
... Abstrac—t-Stroke is one of the most serious disease, and the incidence rate of stroke is confirmed to be related to environmental factors including temperature, pressure and humidity .In order to obtain the relationship ...
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Back Propagation Neural Network based Emotion Recognition System
... V. C ONCLUSION & F UTURE S COPE The most natural & fast communication method between the human is through speech signals. So speech is the fast & efficient method for interaction between humans & machines ...
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Ann Back Propagation For Forecasting And Simulation Hydroclimatology Data
... [8] N. M. Nawi., et al., ―The Effect of Pre-Processing Techniques and Optimal Parameters selection on Back Propagation Neural Networks. Internasional Journal On Advance Science Engineering Information ...
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Power Load Forecasting using Back Propagation Algorithm
... The Power load forecasting by ANN has been considered inspite of the existing conventional techniques because of its robustness. Moreover the generalization capacity is the main reason to use ANN for power load ...
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Implementation of Neural Network Back Propagation Training Algorithm on FPGA
... work back propagation algorithm is implemented in its gradient descent form, to train the neural network to function as basic digital gates and also for image ...of back propagation algorithm ...
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Title: Back-Propagation Neural Network for Speech Recognition- A Survey
... of BACK PROPAGATION NEURAL NETWORKS (BPNN) on speech recognition ...of Back Propagation Algorithm (BPA) that influence BPA are ...basic back-propagation and periodically ...
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A Review Paper on Offline Signature Verification Using Back Propagation
... system extraction of the features is done using the neural networks and it then distinguishes different pattern among all the signatures. Back-propagation algorithm is used because it provides flexibility ...
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Optimizing Back-Propagation using PSO_Hill and PSO_A*
... Abstract- Back propagation algorithm (BPA) have the complexity, local minima problem so we are using Particle Swarm optimization (PSO) algorithms to reduce and optimize ...for back propagation ...
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A Robust Intrusion Detection System by Utilizing Support Vector Machine and Error Back Propagation Neural Network
... Abstract: The concept of Intrusion Detection System is used in the work. The data set is used for training and testing. Various numeric features of dataset are selected for better accuracy.SVM that is Support Vector ...
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