Abstract
This paper researched a neural networks based knowledge discovery and data mining (KDDM) methodology based on granular computing, neural computing, fuzzy computing, linguistic computing, and...
Abstract
This paper researched a neural networks based knowledge discovery and data mining (KDDM) methodology based on granular computing, neural computing, fuzzy computing, linguistic computing, and...
Abstract
This paper researched a neural networks based knowledge discovery and data mining (KDDM) methodology based on granular computing, neural computing, fuzzy computing, linguistic computing, and...
Abstract
The electro-hydrostatic actuator (EHA) is a kind of power-by-wire (PBW) actuator. In this paper, a typical architecture of EHA is described and the block diagram model of EHA is established ...
Abstract
This paper proposes an efficient algorithm for short-term hydropower plant scheduling based on improved evolutionary programming (IEP). The water balance constraints, reservoir volume constr...
Abstract
This paper proposes an efficient algorithm for short-term hydropower plant scheduling based on improved evolutionary programming (IEP). The water balance constraints, reservoir volume constr...
OBJECTIVE: To study the change of the cracks and the influence on overall displacement of the cracked first mandibular molar under different loadings. METHODS: Three-dimensional finite element models ...
Abstract
This paper is devoted to novel stochastic generalized cellular automata (GCA) for self-organizing data clustering. The GCA transforms the data clustering process into a stochastic process ov...