neural network hybrid approach
Hybrid neural network approach for predicting maintainability of object-oriented software
... [3], hybrid approach of neural network and par- ticle swarm optimization such as Neuro-PSO [18], and hybrid approach of ANN and genetic algorithm such as Neuro-genetic (Neuro-GA) ...
12
Hybrid Approach for Classification using Multilevel Fuzzy Min-Max Neural Network
... In [19], (GNN) Granular Neural Network for granular data classification was developed.Hyperbox fuzzy set is used to describe granulardata [19]. 2n input nodes are used here, therefore,it can handle granules ...
5
An evolutionary algorithm based Feature extraction and selection to Persian and Arabic Handwritten Recognition
... a hybrid approach using artificial neural network evolutionary algorithms algorithm is proposed that can be used to distinguish handwritten ...our approach is that it does not require ...
5
A Hybrid Image Contrast Enhancement Approach Using Genetic Algorithm and Neural Network
... F. Neural network training is done in order to get the desired ...results. Neural network makes use of Levenberg- Marquardt Backpropagation ...to neural network-alpha values of ...
5
DEVELOPMENT OF GENETIC ALGORITHM BASED HYBRID NEURAL NETWORK MODEL FOR PREDICTING THE ULTIMATE FLEXURAL STRENGTH OF FERROCEMENT ELEMENTS
... analytical approach is difficult because of the complex multi parametric relationship between the constituents of ...that neural networks and Genetic Algorithms have the ability to map this type of multi ...
7
The Task Scheduling Problem: A NeuroGenetic Approach
... a neural network approach for solving combinatorial optimization ...Tank’s neural network approach to solve small job-shop scheduling ...augmented neural network ...
8
Hybrid Approach of Neural Network and Genetic Algorithm to Recognize Black Mold Disease in Tomato
... of neural networks achieved pleasant identification and classification, and quite fitting accuracy for each feature ...(RBF)] neural networks, generalized regression networks (GRNNs) and probabilistic ...
8
Spam detection using hybrid of artificial neural network and genetic algorithm
... this approach can be adopted either at mail server or at mail client side to minimize the quantity of unsolicited mail messages and to minimize the risk of productivity loss, bandwidth and storage ...
23
Manifold absolute pressure estimation using neural network with hybrid training algorithm
... economical approach on estimating the MAP by using only the measurements of the throttle position and engine speed, resulting in lower implementation ...ward neural network by combining ...
22
Simultaneous Control of Artificial Limbs Based On Hybrid Extreme Learning Machine Algorithm
... classification approach based on the procedure of artificial neural network especially we apply hybrid extreme leaning machine (HELM) for pattern recognition to identify the motion of limbs ...
7
1. A hybrid e-mail spam filtering technique using data mining approach
... Abstract - Communication is a primary need of human beings therefore new techniques are invented to support low cost, efficient and adoptable techniques for new generation communication technology. SMS and email messages ...
8
Inversion of Schlumberger resistivity sounding data from the critically dynamic Koyna region using the Hybrid Monte Carlo-based neural network approach
... Bayesian neural network approach via a powerful Hybrid Monte Carlo ap- proach (Bishop, 1995; Nabney, 2004; Maiti and Tiwari, 2009, 2010a) for estimating true resistivity and layer thick- ness ...
14
Hybrid Model for Passive Locomotion Control of a Biped Humanoid:The Artificial Neural Network Approach
... We have collected data of 24 students for the purpose of training the connectionist part of our hybrid model. The data is basically again composed of static and dynamic parameters. The static parameters consist of ...
7
Application of Multiagent Systems to Three-Dimensional Positioning Problem in Indoor Environments Based on IEEE 802.11
... novel hybrid approach to resolving this problem is proposed through the development of a multiagent system composed of a Bayesian network and a deep neural network for 3D indoor ...
7
A HYBRID APPROACH OF PREVENTION OF DDOS ATTACK USING NEURAL NETWORK
... Abstract: DDOS is a type of DOS attack where multiple compromised systems -- which are usually infected with a Trojan -- are used to target a single system causing a Denial of Service (DoS) attack. Victims of a DDoS ...
5
Combining case-based reasoning with neural networks in diagnostic systems
... the neural network, as well as to define the minimum value for pathognomonic connections ...neiu'al network. In NN-CBR, Tacc is only used to build the neural network, as we exploit all ...
186
Neural Network Design - Free Computer, Programming, Mathematics, Technical Books, Lecture Notes and Tutorials
... of neural networks in literature re- search by Aston ...“the network can be taught to recognize individual writing styles, and the researchers used it to compare works attributed to Shakespeare and his ...
1012
Static Gesture Recognizer Using Hybrid Neural Network
... 2.Convolutional Neural Network (CNN): A Convolutional Neural Network (CNN, or ConvNet) is a feed-forward artificial neural network in which the connectivity pattern of the hand ...
6
Dynamic Pricing in Ecommerce using Neural Network approach
... the network of our model with 10 sets of training patterns so that errors can be minimized as much as possible by using back propagation ...our network for nine different numbers of epochs or iterations: ...
7
Price Optimization in Ecommerce using ANN
... propagation neural network which contains three layers: input layer, hidden layer and output ...The network we designed consists of five units in the input layer across three ...
6