Feed Forward Back Propagation (FFBP)
Crop Cost Forecasting using Artificial Neural Network with feed forward back propagation method for Mysore Region
... ABSTRACT: In recent days, agriculture crop price examination is emerging as a significant research field. In this scenario, Mysore district (Karnataka) is undertaken for research investigation. One of the major concern ...
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Brain Tumor Detection and Classification with Feed Forward Back Propagation Network
... with FFBP used to classification. Feed forward Back propagation neural network is a multi-level error feed-back network that reduces error ...
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Content Based Image Retrieval for Medical Imaging Using Fuzzy FFBP Neural Network Approach
... fuzzy-feed forward back-propagation neural network ...network. Feed Forward back propagation neural network algorithm is used in training the neural ...network. ...
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A New and Effective Approach for Fingerprint Recognition by using Feed Forward Back Propagation Neural Network
... difference between the actual network output value and the desired output value. Neural networks are very good at pattern-recognition and pattern-matching tasks [14]. The most popular neural network model, back ...
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Comparison of artificial neural network and multivariate regression methods in prediction of soil cation exchange capacity (Case study: Ziaran region)
... a feed forward network, the weighted connections feed activations only in the forward direction from an input layer to the output ...to feed previous ...
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Machine Vision-Based Pilling Assessment: A Review
... This approach can be considered hybrid with the ones described in Section 1.4. since a Levenberg- Marquardt back-propagation neural rule is finally used to classify the pilling grade. The robustness of the ...
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Hybrid Techniques for Arabic Letter Recognition
... The recording of the speech has been occurred in a suitable environment, with professional materials in a professional acoustic studio: A digital mixing console (Studer 2000M2) and a dynamic microphone MD421. The speech ...
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Neural Network in Image Compression
... The problem selected is to compress the monochrome images of 128 128 by using different architectures of the neural networks such as 16-4-16, 32-8-32, 32-4-32, 16-6-16, 16-8-16 with the compression ratio 2 bits/pixel, ...
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Review: Face Detection and Recognition Techniques
... The back-propagation is the well known and widely used learning algorithm in training multilayer perceptrons ...a forward direction, from left to right and on a layer-by-Iayer basis. Back ...
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Performance Evaluation Analysis of MLP & DG-RBF Feed Forward Neural Networks for Pattern Classification of Handwritten English Curve Scripts Naveen Kumar Sharma 1, S R Pande2 and Manu Pratap Singh 3*
... multilayer feed forward neural networks trained with back propagation algorithm & descent gradient Radial basis function network for the pattern classification of hand written curve ...the ...
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A new technique to predict the fractures DIP using artificial neural networks and image logs data
... a feed forward Back Propagation Neural Network (BPNN) will be used to predict the fractures dip angle for the third well using the image log and other geological log data of the two other ...
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Predicting the Class of a Mentally Disabled Patient to Check the Level of Mental Retardation by using Feed Forward Back Propagation Neural Network
... Mental disorders have a large impact on individuals, families, and communities, and are one of the main causes worldwide of disability and distress. Correct diagnosis of mental disorders is essential in clinical ...
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ANN in Medical Field Survey Paper
... trained feed forward neural network and fitting neural network were optimized with genetic algorithm and was then compared with the scale conjugate gradient descent back-propagation algorithms ...
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Artificial Intelligence in the Estimation of Patch Dimensions of Rectangular Microstrip Antennas
... As the work signifies RBF ANN is also used to model the microstrip line feed patch antenna. It is established from Table 1 and Figure 7 that RBF is giving results not only more accurate but fast also. The ...
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Automatic Leaf Disease Detection and Classification using Hybrid Features and Supervised Classifier
... ABSTRACT: Farmers at present find it difficult to visit the Plant Clinic in regular intervals to check the possible occurrences of disease in plants which is more time consuming and also results in loss of crops. To ...
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Image Reconstruction Using Multi Layer Perceptron (MLP) And Support Vector Machine (SVM) Classifier And Study Of Classification Accuracy
... Levenberg-Marquardt back-propagation algorithm is used for training the ...with back-propagation algorithm using MATLAB R2013a that is shown in ...the back- propagation algorithm ...
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AI Based Fault Detection on Leaf and Disease Prediction using K means Clustering
... Cucumber crop was handled from pest infection by CLASE(central lab of agricultural expert system).four image processing method are used enhancement segmentation , feature extraction and classification to investigate ...
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Prediction of Weld Bead Geometry and Penetration in Electric Arc Welding using Artificial Neural Networks
... The back propagation network in essence learns a mapping from set of input patterns to a set of output patterns. This network can be designed and trained to accomplish a wide variety of mappings. This ...
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Unleashing Power of Artificial Intelligence for Network Intrusion Detection Problem
... The power of a neural network stems from the combination of many units in a network. A certain network can be tuned to solve a specific problem by varying the connection topology and values of the connecting weights ...
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Vol 9, No 4 (2019)
... Networks, Feed Forward Back Propagation Networks, Feed Forward Networks with no feedback, and Radial Basis Function Network were used to predict the breast ...
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