Results 61 to 70 of about 162,419 (260)
Accelerated Particle Swarm Optimization and Support Vector Machine for Business Optimization and Applications [PDF]
, 2011 Business optimization is becoming increasingly important because all business activities aim to maximize the profit and performance of products and services, under limited resources and appropriate constraints.
A. Chatterjee +23 more
core +1 more source
Substation Equipment 3D Identification Based on KNN Classification of Subspace Feature Vector
Journal of Intelligent Systems, 2017 Aiming to realize rapid and efficient three-dimensional (3D) identification of substation equipment, this article proposes a new method in which the 3D identification of substation equipment is based on K-nearest neighbor (KNN) classification of subspace
Guo Weiying, Ji Yong, Luo Yong, Zhou Yan
doaj +1 more source
Comparison Performances of PSO and GA to Tuning PID Controller for the DC Motor
Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2019 A DC motor widely uses for sensitivespeed and position in industry. Stability and productivity of a system areimportant for controlling of a DC motor speed. Stable of speed which affectedfrom load fluctuation and environmental factors.
Harun Yazgan +3 more
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla +4 more
wiley +1 more source
, 2013 We present initial results from a wide-field (30,000 deg^2) search for L/T transition brown dwarfs within 25 pc using the Pan-STARRS1 and WISE surveys. Previous large-area searches have been incomplete for L/T transition dwarfs, because these objects are
Aller, Kimberly M. +15 more
core +1 more source
Computability and human symbolic output [PDF]
, 2013 This paper concerns “human symbolic output,” or strings of characters produced by humans in our various symbolic systems; e.g., sentences in a natural language, mathematical propositions, and so on.
Megill, Jason, Melvin, Tim
core +4 more sources
Pareto Joint Inversion of 2D magnetometric and gravity data- synthetic study [PDF]
E3S Web of Conferences, 2019 Pareto joint inversion for two or more data sets is an attractive and promising tool which eliminates target functions weighing and scaling, providing a set of acceptable solutions composing a Pareto front.
Danek Tomasz +3 more
doaj +1 more source
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
Advanced Intelligent Discovery, EarlyView.This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
Nonlinear system identification and control using state transition algorithm
, 2015 By transforming identification and control for nonlinear system into optimization problems, a novel optimization method named state transition algorithm (STA) is introduced to solve the problems.
Alfi +24 more
core +1 more source
Calibration of WetSpa model using NSGA-II and PSO multi-objective optimization algorithms [PDF]
مهندسی منابع آب, 2019 Conceptual rainfall-runoff (RR) models, aiming at predicting stream flow from the knowledge of precipitation over a catchment, evapotranspiration, tempreture, and topography of the basin, have become basic and effective tools for flow regime simulation ...
Hosein Ghalkhani +3 more
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