Titlebook: Robot Intelligence Technology and Applications; 6th International Co Jong-Hwan Kim,Hyung Myung,Seung-Mok Lee Conference proceedings 2019 Sp

可卡

Data-Driven Neuroendocrine-PID Tuning Based on Safe Experimentation Dynamics for Control of TITO Codelay based on safe experimentation dynamics (SED). The SED algorithm is an optimization method used as data-driven tools to find the optimal control parameters by using the input-output (I/O) data measurement in an actual system. The advantages of the SED algorithm are that provides a fast solution

corpuscle

傳染

Hierarchical Attention Networks for Different Types of Documents with Smaller Size of Datasets,esearch has been devoted to improve the accuracy of document classification over different types of documents, e.g., review, question, article and snippet. Recently, a method to model each document as a multivariate Gaussian distribution based on the distributed representations of its words has been

慢慢沖刷

Social Robot Intelligence and Network Consensus,-lab environment are being upgraded at a fast pace in order to meet social expectations. To foster the integration in human societies, and hence coping with expectations, robots are likely to be endowed with typically human attributes, such as synthetic personality. Such social personality is the re

愛(ài)國(guó)者

Robust Feedback Controller Design Using Cuckoo Search Optimization to Maximize Stability Radius,zation (CSO) in this paper. A set robust feedback controller gains is optimized based on plant’s linear model having structured parametric uncertainty, i.e. two mass benchmark system. A wedge region is assigned as the optimization constraint to specify the desired closed-loop poles location which is

清晰

Chaos-Based Reinforcement Learning When Introducing Refractoriness in Each Neuron,hat the internal chaotic dynamics would grow up into “thinking” through learning. In our previous works, strong recurrent connection weights generate internal chaotic dynamics. On the other hand, chaotic dynamics are often generated by introducing refractoriness in each neuron. Refractoriness is the

avulsion

Integration of Semantic and Episodic Memories for Task Intelligence,m. Semantic and episodic memories play a key role in majority of memory systems by providing conceptual and sequential information. We propose a novel architecture that integrates both semantic and episodic memories for task intelligence. The adaptive resonance theory (ART) based episodic memory use

敘述

啪心兒跳動(dòng)

Convolutional Neural Network-Based Collaborative Filtering for Recommendation Systems,ervices. Matrix factorization that projects users and items into a shared latent space is one of the popular collaborative filtering techniques. Recently, a general neural network-based collaborative filtering (NCF) framework, employing generalized matrix factorization and multi-layer perceptron mod

AXIOM