[PDF] Top 20 Artificial Neural Network Learning Enhancement using Bacterial Foraging Optimization Algorithm
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Artificial Neural Network Learning Enhancement using Bacterial Foraging Optimization Algorithm
... The artificial neural network (ANN) is a mathematical model capable of representing any non-linear relationship between input and output ...of artificial neural networks (ANNs) is ... See full document
7
Particle swarm optimization for neural network learning enhancement
... surface, learning rate is considered to designate the step sizes across this surface to reach a global ...A learning rate too large result in the global minima being stepped across while too small will ... See full document
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E Learning Optimization Using Supervised Artificial Neural Network
... (k-NN) algorithm is one of the most popular and non-parametric method used in classification and ...a learning set form a numerous groups such as artificial neural networks, simple and oblique ... See full document
10
Accuracy Enhancement of Artificial Neural Network using Genetic Algorithm
... the enhancement of the accuracy of the results by using Artificial Neural Network optimized with Genetic Algorithm in prediction of heart disease diagnosis with UCI ...study ... See full document
5
Comparative Analysis of ANN-ICA and ANN-GWO for Crop Yield Prediction
... MACHINE LEARNING METHODS As it is mentioned above, in this study, the performance of two hybrid machine learning methods in the crop yield prediction is ...machine learning in prediction ...of ... See full document
5
Multi indicators Brain Storm Optimization Algorithm for Multi objective Optimization Problems
... of artificial intelligence technology, swarm intelligence (SI) has obtained a surge of ...genetic algorithm (GA) [1], artificial bee colony algorithm (ABC) [2-7], bacterial ... See full document
10
OPTIMAL DESIGN OF SINGLE PHASE TRANSFORMER USING BACTERIAL FORAGING ALGORITHM
... design optimization techniques have appeared in the ...manner using digital computers was discussed ...genetic algorithm-neural network approach applied to distribution transformers for ... See full document
8
Enhancement in Channel Equalization Using Artificial Neural Network
... novel artificial neural network equalizer trained with optimization algorithms to mitigate the distortion like ISI occurs in the communication channel and can provide minimum mean square ... See full document
10
Enhancement in the performance of channel estimation for OFDM based system using bacterial foraging optimization and neural network
... propagation neural network with bacterial foraging optimization (BFO) for the estimation of channel to improve the performance and convergence ...(MMSE) algorithm is used for ... See full document
7
Research Progress of Intelligent Optimization Algorithm in Big Data Background
... genetic algorithm (GA), particle swarm optimization (PSO), ant colony optimization (ACO), Artificial Fish School Algorithm, Bacteria Foraging Optimization Algorithm ... See full document
7
Bacterial foraging optmization algorithm for neural network learning enhancement
... in Artificial Neural Network (ANN), such as the number of input, hidden and output nodes, bias, minimum error and the type of activation/transfer ... See full document
32
Optimization of Hybrid Journal Bearing using Artificial Neural Network and Genetic Algorithm
... bearing optimization have been carried out and reported in the available ...hybrid optimization technique that combines the direct search and successive quadratic programming methods for the ... See full document
9
An Application of ANN Model with Bayesian Regularization Learning Algorithm for Computing the Operating Frequency of C-Shaped Patch Antennas
... By using the substrate materials with high dielectric constant, the smaller antennas can be achieved but this gives rise to decrease the bandwidth and efficiency performances ... See full document
5
Analysis of Chemotaxis in Bacterial Foraging Optimization Algorithm
... for optimization which can be broadly classified into three methods namely deterministic, stochastic and heuristic ...Deterministic optimization methods depend on mathematical properties for finding the ... See full document
6
Application of Artificial Intelligence for Epilepsy Disease
... Reinforcement learning: this learning is motivated by psychological ...expert. Algorithm is well versed when the response is false, but never tells how to precise ...Reinforcement learning ... See full document
7
SCALED CONJUGATE GRADIENT NEURAL NETWORK MODELLING FOR PREDICTION OF CBR OF SOILS
... propagation learning algorithm was used for performance evaluation of MSE and R-value due to change in ANN architecture and iteration numbers during training of ANN ...SCG algorithm was employed and ... See full document
5
Comparative Analysis of Clustering & Enhancing Classification Using Bio- Inspired Approaches
... PSO is a computational method that optimizes a problem by trying to improve a candidate solution through a number of iterations with respect to quality. In PSO, each single solution is a bird in a search space, call it a ... See full document
5
Maximum Power Point Tracking of Photovoltaic Generators Partially Shaded Using a Hybrid Artificial Neural Network and Particle Swarm Optimization Algorithm
... several artificial intelligence (AI) techniques have been introduced for adapting conventional MPPT algorithms to allocate the Global MPP (GMPP) and consequently optimizing the power generation of PV array ... See full document
9
Optimization of an Economic and Environmental Dispatching Power using the Bacterial Foraging Optimization Algorithm (BFOA)
... this optimization problem, some based on artificial intelligence methods have been ...the bacterial foraging optimization algorithm ... See full document
6
Spam detection using hybrid of artificial neural network and genetic algorithm
... of neural network algorithm has been done to save time for parameter selection and to optimize network training in order to increase the performance of spam detection, and to evaluate the ... See full document
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