[PDF] Top 20 Improved SpikeProp for using particle swarm optimization

Improved SpikeProp for using particle swarm optimization

... for SpikeProp is derived to overcome the discontinuities introduced by the spiking ...The SpikeProp is able to demonstrate the spiking neurons that can perform complex nonlinear classification in fast ... See full document

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Soft Computing Technique Based Economic Load Dispatch Using Improved Particle Swarm Optimization

... The best fuel cost result obtained from proposed IPSO and other optimization algorithms are compared in Table 2 for load demands of 2630 MW. In Table 2, generation outputs and corresponding fuel cost and losses ... See full document

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Optimized Utilization of Resources Using Improved Particle Swarm Optimization Based Task Scheduling Algorithms in Cloud Computing

... scale optimization problems and PSO easily sink into defects of local optima due its strong ...better swarm and SA has jumping ability to partly optimize a better individual so, by advantages of both PSO ... See full document

6

A Unified Framework for Participation of Responsive End-User Devices of Smart Grid with Imopso

... an improved multi-objective particle swarm optimization algorithm (IMOPSO) to efficiently solve multi-objective discrete optimization ... See full document

8

Content Based Image Retrieval Using Improved Particle Swarm Optimization – K-Means Clustering With Support Vector Machine Algorithm

... One of the major building blocks of a CBIR system is the feature extraction block. In the feature extraction block, an image is represented by features which allow searching for images similar to a given image. A feature ... See full document

11

Natural Computing Applied to the Underground System: a Synergistic Approach for Smart Cities

... a swarm of individuals that operate among a ...a swarm, atomic work element of the Natural Computing ...widely improved by applying Natural Computing, where Genetic Algorithms, Ant Colony ... See full document

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DEVELOPMENT AND APPLICATION OF A STAGE GATE PROCESS TO REDUCE THE UNERLYING RISKS OF IT SERVICE PROJECTS

... Modified Improved Particle Swarm Optimization (MIPSO) method algorithm in solving the optimization economic by combining inertial weight and constriction factor with the aim of ... See full document

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Improved Quantum Behaved Particle Swarm Optimization

... The QPSO Improvement Based on Quantum Computing In this section, we propose a Bloch sphere-based quantum-behaved particle swarm optimization algorithm called BQPSO... The Spherical Descr[r] ... See full document

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An Improved Particle Swarm Optimization for Vehicle Routing Problem

... each particle is derived from itself and the whole group. The particle can rapidly move to the global optimum and the local optimal in the iterative ...the particle swarm optimization ... See full document

7

An Improved Digital Image Watermarking Scheme using Particle Swarm Optimization Technique

... Using traditional wavelet transform for watermark scheme designing faces certain limitations. Since traditional wavelet transform is a floating point algorithm, Computers with limited data processing ability ... See full document

15

PRIORITIZATION OF CENTRALITY MEASURES IN PROTEIN PROTEIN INTERACTON NETWORK FOR DISEASE GENE IDENTIFICATION

... found using Particle Swarm Optimization (PSO), such as to obtain improved voltage profile, minimal total system loss, minimal reactive power transfer and maximization of the stability ... See full document

9

PSO BP algorithm implementation for material surface image identification

... new improved method in predicting material surface from photographic image was implemented using a hybrid of particle swarm optimization and back- propagation neural network (PSO-BP) ... See full document

5

Photovoltaic Burp Charge System on Energy-Saving Configuration for PV Systems under Different Scenario

... maxima. Improved maximum power point tracking (MPPT) method for the photovoltaic (PV) system using a modified particle swarm optimization (PSO) algorithm can improve its ... See full document

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FUEL COST MINIMIZATION USING AN IMPROVED PARTICLE SWARM OPTIMIZATION

... This paper deals about minimization of fuel cost using modified particle swarm Optimization (PSO) technique to solve optimal power flow (OPF) problems. The standard PSO algorithm is extended ... See full document

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IAPSO-TCI: Improved Ant and Particle Swarm based Optimization Techniques for Classifying Imagery

... by Swarm Computing is colonies of ant and termites, school of fish, flocks of birds, herds of land animals and thereby has been employed in various problems varying from a Travelling Salesman Problem (TSP) [16][9] ... See full document

7

A Survey on Economic Load Dispatch Problem Using Particle Swarm Optimization Technique

... the particle swarm optimization with the chaotic ...proposed Improved Particle Swarm Optimization (IPSO) combined the PSO algorithm with chaotic sequences ... See full document

6

Improved spikeprop algorithm for neural network learning

... of optimization. One useful optimization technique uses PSO (Eberhart and Kennedy, 1995), which is inspired by how the biological swarm of animals works to achieve a desirable objective for the ... See full document

36

Modified Particle Swarm Optimization Combined with Trigonometric Function and Variable Neighborhood Search

... an improved particle swarm optimization is considered based on the inertia weight and acceleration coefficients of trigonometric function and variable neighborhood search, called ... See full document

8

Study on the optimization algorithm of sediment particle Imshanage

... SEDIMENT PARTICLE IMAGE OF CHAOTIC PARTICLE SWARM OPTIMIZATION ALGORITHM The improved particle swarm optimization algorithm of sediment particle image is ... See full document

10

Storage planning of automated pharmacy based on an improved adaptive chaotic particle swarm optimization algorithm

... multi-objective optimization model of dense storage was established to improve the access efficiency of cargo and the utilization of storage space according to optimization target, ways and principles of ... See full document

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