An artificial-intelligence decision-making core system with neural network implements asymmetric hidden layers which is constructed by neural network with a dynamic neuron adjusting mechanism via making use of a device with computing unit and storage media, coupled to an independent feedback sub-system which operates a residual-compensation mechanism, thereby the core system can receive various trained data and performs a non-linear analysis process according to the output data derived from the asymmetric hidden layers of an unsupervised neural network, so as to derive individual and applicable decision-making data.
ARTIFICIAL-INTELLIGENCE DECISION-MAKING CORE SYSTEM WITH NEURAL NETWORK