… some influence over which training data is labeled by the target DFA for model construction.
… evolve deterministic finite state automata. In this approach genes are states in the automaton…

… efficiency in intelligent decision-making, difficulty in meeting the … blue team consists of a finite
state machine composed of expert … Self-organizing neural networks for learning air combat …

… the macro decision‑making module constructs the extreme gradient … is better than that of
finite state machine,behavior clone … 卷积 神经网络(convolutional neural networks,CNN)基于 车载…

… simulate the developed construction with computer experiments first, before actually building
it. … Another possible structure is the recurrent neural network (Nielsen, 2015). Hereby the …

… 词缀根据在词汇中的作用分为构词附 加成分(Word Building)和构形… 有限状态自动机(Deterministic
Finite State Machine,DFSM)和… Empirical evaluation of gated recurrent neural networks on …

… 确 定有限状态机(deterministic finite-state automata,简称DFA)计算速度快,但存储开销大;不
确定有限状态机 (nondeterministic finite-state automata,简称NFA)存储开销小,但计算速度慢.因此,…

… deep-learning-based neural network has been used to train plasma disruption prediction
models, and the real-time running of the deep… 是有限状态机(Finite State Machine,FSM)和计数器.…

… -making involves a complex pattern of actions and reactions, which may be involved with
deterministic … It is a recurrent neural network having synaptic connection pattern such that there …

… , which aims to construct multiple independent but related … 的方法:以有限状态机(Finite-State
Machine,FSM)为主,根据感知… Explaining how a deep neural network trained with end-to-…

… This chapter shows the construction of a space-borne laboratory environment by means
of an entity structure knowledge representation. Chapter 6 presents the concepts of model-…