… predictive-coding-based sample adaptive method to predict … 了近端 策略优化算法(proximal
policy optimization, PPO)[25], 是… recognizing algorithm based on fuzzy cognitive plan map. Int’…

… fuzzy recurrent wavelet neural network optimized by genetic algorithm, GA⁃ SLFRWNN) 的
目标威胁评估方法. 首先通过分析威胁评估的影响因素及其信息的模糊性, 将RWNN 嵌入FNN 的…

… nature of human being蒺s thought, study, deduction and decisions making. As brain鄄inspired
computing is enlightened by the process of human蒺s reasoning, judging, and decisions …

… A combination of the GE computer code output and ANN was used to optimize a BP-model
of the Golgohar mine area. The BP-ANN model was optimized and the wells’ predicted dry …

… such as game and optimization decision, and intelligent driving has … Future trajectory prediction
via RNN and maximum margin … Decision making for autonomous driving via augmented …

… Cooperative threat assessment of multi-aircrafts based on synthetic fuzzy cognitive map[J]. …
-attribute decision making method for air target threat evaluation based on intuitionistic fuzzy …

… Trajectory optimization by Gauss pseudospectral method and it’s realization in flight . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ZHANG Hongqian, MA Lei, QIAN …

… is questioned because the decision making process … forecast emerging technologies. This
method focuses on the hierarchical distribution of key words in patent text clusters and maps …

… Results revealed that the proposed model has a high level of predictive power as the linear
regression model exhibited higher prediction errors (ie MAE and RMSE) for all indicators of …

… productivity and service innovation success, our data sample is limited to making valid
service-industry–agnostic predictions for optimal organizational and operational configurations. …