[PDF] Top 20 The impact of VMAX activation function in particle swarm optimization neural network
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The impact of VMAX activation function in particle swarm optimization neural network
... Recently, swarm intelligence particularly particle swarm optimization (PSO) has been introduced to enhance the BP network ...The particle swarm optimization (PSO) ... See full document
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Hybrid Approach to Optimize the Centers of Radial Basis Function Neural Network Using Particle Swarm Optimization
... Abstract: Function approximation is an important type of supervised machine learning techniques, which aims to create a model for an unknown function to find a relationship between input and output ...a ... See full document
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Artificial Neural Network Training By Using Regrouping Particle Swarm Optimization
... objective function among the previous particles and the updated ...best particle [8]. Then the particles move towards the global best particle with a velocity proportional to both distance between ... See full document
6
Artificial Neural Network and Particle Swarm Optimization in Orange Identification
... Classification is the last stage in typical computer vision systems, such as those intended for fruit variety recognition. A set of tuple of features is given as input, the classifier is to predict the most likely class ... See full document
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Particle Swarm Optimization Feedforward Neural Network for Hourly Rainfall-runoff Modeling in Bedup Basin, Malaysia
... a network with sufficient hidden units is able to approximate any continuous function to any degree of accuracy by performing efficient training ([8], ...feedforward neural network trained by ... See full document
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Particle swarm optimization for neural network learning enhancement
... cost function is smaller than the local minimum in which the network is ...powerful optimization algorithms have been devised, most of which have been based on simple gradient descent algorithm as ... See full document
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COMPARATIVE STUDY OF INTELLIGENT TECHNIQUES FOR SOLVING OPF PROBLEM
... and particle swarm optimization (PSO) ...system network that optimizes the system objective functions such as total generation cost, system loss, bus voltage deviation, emission of generating ... See full document
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HAND WRITING RECOGNITION USING HYBRID PARTICLE SWARM OPTIMIZATION & BACK PROPAGATION ALGORITHM
... A Neural Network (NN) [3] is a function with adjustable or tunable ...a neural network be denoted by ...the network. So let the network output is denoted by ...A ... See full document
7
Parallel Implementation of Particle Swarm Optimization Variants Using Graphics Processing Unit Platform
... Particle Swarm Optimization (PSO) has been successfully applied to a lot of difficult and complex optimization problems such as artificial neural network training, ... See full document
9
Role of the Computational Intelligence in Drugs Discovery and Design: Introduction, Techniques and Software
... lead optimization and pre-clinical in vitro & in vivo ...as Particle Swarm Optimization, Ant Colony Optimization, Artificial Neural Network, Fuzzy logic, Genetic ... See full document
12
On Chebyshev Array Design Using Particle Swarm Optimization
... cost function, which sometimes become formidable to ...alternatives, neural network and evolu- tionary algorithms techniques were used in order to re- duce the side lobes of linear arrays ...and ... See full document
7
Enhancement of quantum particle swarm optimization in elman recurrent network with bounded VMAX function
... called particle, and is given a random velocity and is flown through the problem ...each particle keeps track of previous best position and corresponding ...each particle towards its pbest and the ... See full document
6
Differential evolution for neural networks learning enhancement
... the optimization of a certain multi-dimensional ...Artificial Neural Network (ANN) ...and activation/transfer ...of neural network ...forward neural network to ... See full document
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A Bayesian Network Model of the Particle Swarm Optimization for Software Effort Estimation
... proposed Particle Swarm Optimization technique is proposed which drive on data sets which are clustered using the K-means clustering algorithm ...the neural networks with efficient tuning of ... See full document
7
Learning enhancement of radial basis function neural network with harmony search algorithm
... global optimization methods could be applied for training RBF networks in accordance with the various science and engineering ...the particle swarm optimization (PSO) algorithm, the artificial ... See full document
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SENSOR DEPLOYMENT USING PARTICLE SWARM OPTIMIZATION
... stochastic optimization algorithm based on the study of migration behaviors of bird flock in the process of searching ...a swarm and by not employing a survival of the fittest model [Marco Ferreira et ... See full document
7
Bacterial foraging optmization algorithm for neural network learning enhancement
... 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
FUZZY BASED DETECTION AND SWARM BASED AUTHENTICATED ROUTING IN MANET
... Artificial Neural Network (ANN) accepted CT values from small 3D neighborhood about target pixel classifying each pixel as either split, knot, decay/clear wood or ... See full document
7
Hybrid GA-PSO Optimization of Artificial Neural Network for Forecasting Electricity Demand
... using swarm intelligence in the case if Turkey. He proposed a model using PSO-based energy demand forecasting to forecast the energy demand of Turkey. He argued that gross domestic product (GDP), population, ... See full document
35
An Improved Pso Algorithm For Ddos Attack Detection In Wireless Networks
... As depicted in the figure 5, the last process is transmission of ack packet to the receiver on obtaining the syn-ack signal from the receiver. The destination now hands over control over all its resources to the source ... See full document
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