Architecture and Weight Optimization of ANN Using Sensitive Analysis and Adaptive Particle Swarm Optimization

Faisal Muhammad Shah; Khairul Hasan; Mohammad Moinul Hoque; Suman Ahmmed

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Architecture and Weight Optimization of ANN Using Sensitive Analysis and Adaptive Particle Swarm Optimization

机译：基于敏感分析和自适应粒子群算法的人工神经网络架构和权重优化

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This paper presents an optimized architecture and weights of three layered ANN designing method using sensitivity analysis and adaptive particle swarm optimization (SA?APSO). The optimized ANN architecture determination means to look for near minimal numb

机译：本文提出了一种使用灵敏度分析和自适应粒子群优化（SA？APSO）的三层ANN设计方法的优化架构和权重。优化的ANN架构确定意味着寻找最小的麻木

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《International journal of computer science and network security》 |2010年第8期|共9页
作者
Faisal Muhammad Shah; Khairul Hasan; Mohammad Moinul Hoque; Suman Ahmmed;
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中图分类自动化技术、计算机技术;
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1. Architecture and Weight Optimization of ANN Using Sensitive Analysis and Adaptive Particle Swarm Optimization [J] . Faisal Muhammad Shah, Md. Khairul Hasan, Mohammad Moinul Hoque, International journal of computer science and network security . 2010,第8期

机译：基于敏感分析和自适应粒子群算法的人工神经网络架构和权重优化
2. COMPETITIVE ELECTRICAL ENERGY MARKET BIDDING STRATEGY USING OPTIMIZING TECHNIQUES, PARTICLE SWARM OPTIMIZATION (PSO) & ADAPTIVE PARTICLE SWARM OPTIMIZATION (APSO) [J] . PRAMESH KUMAR, S. K. BHARADWAJ Journal of Electrical and Electronics Engineering . 2020,第1期

机译：使用优化技术，粒子群优化（PSO）和自适应粒子群优化（APSO）使用优化技术竞争力的电能市场竞标策略
3. A feature extraction method of the particle swarm optimization algorithm based on adaptive inertia weight and chaos optimization for Brillouin scattering spectra [J] . Zhang Yanjun, Zhao Yu, Fu Xinghu, Optics Communications: A Journal Devoted to the Rapid Publication of Short Contributions in the Field of Optics and Interaction of Light with Matter . 2016,第Null期

机译：基于自适应惯性权重和混沌优化的布里渊散射谱粒子群算法的特征提取方法
4. Reactive Power Optimization for Wind Power System Based on Adaptive Weights Flight Adjustment Particle Swarm Optimization [C] . Xi Wang, Xin Wang, Lixue Li, International conference on electrical and electronics engineering . 2014

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5. Stochastic approximation algorithms with applications to particle swarm optimization, adaptive optimization, and consensus. [D] . Yuan, Quan. 2015

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6. An Area Coverage and Energy Consumption Optimization Approach Based on Improved Adaptive Particle Swarm Optimization for Directional Sensor Networks [O] . Song Peng, Yonghua Xiong 2019

机译：基于改进的自适应粒子群算法的定向传感器网络区域覆盖与能耗优化方法
7. Task Scheduling Using Adaptive Weighted Particle Swarm Optimization with Adaptive Weighted Sum [O] . Vidya G., Sarathambekai S., Umamaheswari K., 2012

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Architecture and Weight Optimization of ANN Using Sensitive Analysis and Adaptive Particle Swarm Optimization

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