نتایج جستجو برای: learning algorithm

تعداد نتایج: 1264648  

Journal: :مدیریت شهری 0
mohammad javanmardi bijan khayambashi mahdi karbasian akbar nilipoor

the electronic industry suffers a rapid changing and highly rival environment. thus, firms have an essential need to strive for acquiring the competitive advantage. strategy organizational agility (soa) is a tool which enables to assist firms to attain the competitive advantage. therefore, this study benchmarks the core competencies from a case study within the supply chain network and establis...

Journal: :IEEE Access 2021

As one of the important artificial intelligence fields, brain-like computing attempts to give machines a higher level by studying and simulating cognitive principles human brain. Compared with traditional neural network, spiking network (SNN) has better biogenesis stronger power. In this paper, an SNN learning model based on evolutionary membrane algorithm is proposed solve problem supervised c...

Journal: :journal of physical & theoretical chemistry 2015
jalal javadi moghaddam mostafa mirzaei masood madani mohammadreza norouzi atena khodarahmi

in this paper, an adaptive neuro fuzzy sliding mode based genetic algorithm (anfsga) controlsystem is proposed for a ph neutralization system. in ph reactors, determination and control of ph isa common problem concerning chemical-based industrial processes due to the non-linearity observedin the titration curve. an anfsga control system is designed to overcome the complexity of precisecontrol o...

Journal: :Journal of Information Security and Cryptography (Enigma) 2016

Journal: :Advances in Artificial Neural Systems 2011

Journal: :Applied Mechanics and Materials 2013

Journal: :Journal of the Korea Academia-Industrial cooperation Society 2011

Deep learning is one of the subsets of machine learning that is widely used in Artificial Intelligence (AI) field such as natural language processing and machine vision. The learning algorithms require optimization in multiple aspects. Generally, model-based inferences need to solve an optimized problem. In deep learning, the most important problem that can be solved by optimization is neural n...

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