Results 11 to 20 of about 1,725,169 (334)
Machine Learning and Invariant Theory
Notices of the American Mathematical Society, 2023 Inspired by constraints from physical law, equivariant machine learning restricts the learning to a hypothesis class where all the functions are equivariant with respect to some group action. Irreducible representations or invariant theory are typically used to parameterize the space of such functions.
Blum-Smith, Ben, Villar, Soledad
openaire +2 more sources
Journal of Manufacturing and Materials Processing, 2021 Wire Arc Additive Manufacturing (WAAM) with eccentric wire feed requires defined operating conditions due to the possibility of varying shapes of the deposited and solidified material depending on the welding torch orientation.
Khushal Parmar +9 more
doaj +1 more source
The Hitchhiker's Guide to Nonlinear Filtering [PDF]
, 2019 Nonlinear filtering is the problem of online estimation of a dynamic hidden variable from incoming data and has vast applications in different fields, ranging from engineering, machine learning, economic science and natural sciences.
Kutschireiter, Anna +2 more
core +2 more sources
Semantic Information G Theory and Logical Bayesian Inference for Machine Learning [PDF]
, 2019 An important problem with machine learning is that when label number n\u3e2, it is very difficult to construct and optimize a group of learning functions, and we wish that optimized learning functions are still useful when prior distribution P(x) (where ...
Lu, Chenguang
core +1 more source
IET Renewable Power Generation, 2023 The brushless doubly‐fed machine (BDFM) utilizes an asymmetric composite rotor featuring salient pole reluctance and magductance to effectively compensate for the phase shift in space, as well as enhance magnetic field modulation effects, and is ...
Dingbang Long +3 more
doaj +1 more source
IET Electric Power Applications, 2021 A novel hybrid multi‐objective optimization method which combines the Taguchi method with multi‐level Kriging model is developed for optimization of interior permanent magnet synchronous machines (IPMSMs).
Wenming Tong +3 more
doaj +1 more source
IET Electric Power Applications, 2021 Operation of Vernier machines is based on flux modulation. They have some advantages including maintaining the rated torque in motor applications and the rated output power in generator applications at low speeds, high torque density and relatively low ...
MohammadHossein Arianborna +3 more
doaj +1 more source
, 2021 This book develops the basic content for an introductory course in Mechanisms and Machine Theory. The text is clear and simple, supported by figures. Several solved practical oriented exercises problems have been included to enrich student’s knowledge on synthesis of mechanism based on the real time applications.
Mr. Stephen Leon J +2 more
openaire +1 more source
The transfer of fibres in the carding machine [PDF]
, 2005 The problem of understanding the transfer of fibres between carding-machine surfaces is addressed by considering the movement of a single fibre in an airflow.
A. Dehghani +17 more
core +1 more source
The Journal of Engineering, 2019 This paper deals with the non-linear modelling of synchronous machines by using the flux linkage as a state variable. The model is inferred from a conventional set of measurements where the relation between the currents and the flux linkages in the ...
Riccardo Antonello +3 more
doaj +1 more source