Back-Propagation (BP) Algorithm
A Hybrid Differential Evolution and Back Propagation Algorithm for Feedforward Neural Network Training
... the back-propagation algo- rithm to perform a local search around the global solution in the weight space of the problem to enhance the convergence speed of the ...training algorithm maintain better ...
9
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 ...Bat algorithm is becoming a popular method in solving many complex optimization ...
5
Neural Networks and Back Propagation Algorithm
... There are many classification techniques used in data mining with NN being one of them. NN model is explained in this paper but distinction has to be made between NN in humans and animals and NN that are being used in ...
12
Power Load Forecasting using Back Propagation Algorithm
... 4.4. BACK-PROPAGATION ALGORITHM (BPA) Newton‟s Steepest descent rule is used in the learning to achieve the global ...The algorithm for BPA is as ...
6
THE USE OF BACK-PROPAGATION ALGORITHM IN THE ESTIMATION OF FIRM PERFORMANCE
... as back-propagation ...this algorithm, the relationship between the input and output variables can be constructed and moreover, the model can be used as an estimator of firm performance for the ...
14
Comparison of Various Transfer Functions for Resilient Back-Propagation Algorithm
... ESILIENT BACK - PROPAGATION Among the all the back propagation algorithm resilient back-propagation is regarded as the best algorithm because of high convergence ...
5
Classification Using Two Layer Neural Network Back Propagation Algorithm
... network back propagation algorithm. Back propagation algorithm is used to train the neural ...network back propagation al- ...
6
Big Data Analytics using Back Propagation Algorithm for Foretelling Quake
... V. PROPOSED METHOD This research will focus on the analysis of huge data by applying more neural networks to learn several sub dataset Our investigation is gone for enhancing the first preparing calculation to have the ...
8
Resilient Back Propagation Algorithm in the Prediction of Mother to Child Transmission of HIV
... resilient back propagation method has been established to overcome the fiasco of back propagation [10] ...traditional back propagation algorithm that modifies the weights ...
7
A comparative study of effort estimation techniques using back propagation algorithm
... learning algorithm and activation function are the feed-forward multilayer perceptions, the back propagation algorithm respectively ...
7
Function approximation using back propagation algorithm in artificial neural networks
... DATA FLOW DESIGN Many data flow designs for neural networks have been developed for various purposes with varied successes, such as that for the committee machine. We report our design in this paper and omit a full ...
69
A NOVEL APPROACH FOR ALPHANUMERIC CHARACTER RECOGNITION USING BACK PROPAGATION ALGORITHM
... A.Ratna Raju Department of Computer Science and Engineering, MGIT, Hyderabad (India) ABSTRACT Classification methods based on learning from examples have been widely applied to character recognition from the 1990s and ...
7
Back Propagation Algorithm for Computerized Pape Evaluation using Neural Network
... Keywords: Back Propagation Algorithm, Neural Network, Image Processing, Machine Learning. I. INTRODUCTION Machine learning is a technique of introducing artificial intelligence to the system where ...
5
Recognition of Text CAPTCHA by using Back Propagation Algorithm of Artificial Neural network
... using Back Propagation Algorithm of Artificial Neural network Sumeet Gill, Renu Saroha Abstract: Text-based CAPTCHA is a very simple type of CAPTCHA which are most widely ...on Back ...
12
ANN Approach for Error Optimization in Process Synchronization Using Back Propagation Algorithm
... feed-forward algorithm and if the value obtained is not matched with desired value then, the backpropagation algorithm is ...The back-propagation algorithm updates the weight for ...
9
An Improved Gauss Newtons Method based Back propagation Algorithm for Fast Convergence
... Levenberg-Marquardt back-propagation algorithm and conjugate back-propagation algorithm are used in various ...conjugate back-propagation method is also known as ...
7
Face Recognition Using Eigen faces By ANN with Resilient Back propagation Algorithm
... meaningful visual stimuli and developing a computational model for face recognition is difficult [1]. In this paper we propose a new approach to detect the human faces quickly and efficiently by using Eigen faces ...
6
Cross Breed Biometric Fusion at Feature Level Using Back Propagation Algorithm
... Keywords: MFCC, FFT, Hamming window, FAR, FRR, Tongue biometric, Speech biometric, back propagation algorithm. I. INTRODUCTION Physical access and internal access are used to venture computers and ...
5
A new levenberg marquardt based back propagation algorithm trained with cuckoo search
... Abstract Back propagation training algorithm is widely used techniques in artificial neural network and is also very popular optimization task in finding an optimal weight sets during the training ...
7
CSLM: Levenberg Marquardt based Back Propagation Algorithm Optimized with Cuckoo Search
... tope algorithm [14], a global search procedure such as evolutionary programming [15], and genetic algorithm (GA) ...Error Back Propagation [13], Quick prop algorithm [18], Resilient ...
14