![]() ![]() For example, it helps with image perception, human learning, computer speech, etc. This idea finds its inspiration within the human neurological system. What is the Back-Propagation Algorithm?Ī neural network is a collection of interconnected I/O devices, with each connection having a weight. As the usage of big data expands, so will the need for machine learning professionals to help identify the most pressing business issues and the data required to address them. These insights play an essential role in the decision-making process within organizations and applications, intending to optimize critical growth indicators. Algorithms are developed to provide close to approximate classifications based on statistical strategies, thus disclosing significant insights. Machine learning is an integral part of the ever-expanding field of data science that promises to trigger a revolution in the global technological space. In technical terms, machine learning is a popular discipline of Artificial Intelligence and computer science that focuses on leveraging data and algorithms to continuously mimic how people learn to increase accuracy. But, first, let us have a brief intro to machine learning. This post will discuss one of the widely used machine learning algorithms, the back-propagation algorithm. Soon, tech enthusiasts got involved in unleashing the core concepts related to the field.Ī good machine learning expert understands the potential of the new-age technology and so strives to explore every concept related to it. AI garnered the attention of tech experts and became one of the most engaging topics for research operations. Early people related Artificial Intelligence to sci-fi movies. Technological innovation paved new opportunities for projects and solutions that support decentralization, digitalization, and related concepts. Whether in touch-sensitive machine control or human-like robots, artificial intelligence is spreading its roots deeper and deeper. ![]() The present era is the era of technological revolution where AI (artificial intelligence) is at the forefront. Sci.Over the years, humans have become more and more dependent on machines. Park, Adaptive parameter estimator based on T-S fuzzymodels and its applications to indirect adaptive fuzzy control design. Cho, T-S model based indirect adaptive fuzzy controlusing online parameter estimation. ![]() Ham, Adaptive fuzzy sliding mode control of nonlinearsystem. Chai, Fuzzy indirect adaptive control for a class ofdecentralized nonlinear systems. Liu, Adaptive hybrid intelligentcontrol for uncertain nonlinear dynamical systems. Chin, Hybrid adaptive fuzzy controllers of robotmanipulators with bounds estimation. Gazor, Hybrid adaptive fuzzy identification and control ofnonlinear systems. Wang, Combining mathematical model and heuristics into controllers: An adaptive fuzzy control approach. ![]()
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