Results 71 to 80 of about 190,933 (296)

A State‐Adaptive Koopman Control Framework for Real‐Time Deformable Tool Manipulation in Robotic Environmental Swabbing

Advanced Robotics Research, EarlyView.
This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi, Amirreza Davar, Dongyi Wang   +2 more
wiley   +1 more source

A Familiartiy-Based Bound on the Expected Error Rate for Classification with the Fuzzy ARTMAP Neural Network [PDF]

, 1999
We obtain a bound on the expected error rate of the fuzzy ARTMAP neural network employed as a classifier. This bound is based on leave-one-out estimation of the classification error, and is analogous to a bound on the expected error rate for support ...
Rubin, Mark
core   +2 more sources

Research on pitch control of coal mine roadheader based on fuzzy neural network PID

Gong-kuang zidonghua
Currently, PID control method is mainly used for the pitch control of coal mine roadheader, and the control precision is not high in the case of time-varying and nonlinear hydraulic system during the pitch control of roadheader.
MAO Qinghua, CHEN Yanzhang, MA Cheng, WANG Chuanwei, ZHANG Fei, CHAI Jianquan   +5 more
doaj   +1 more source

Learning control of inverted pendulum system by neural network driven fuzzy reasoning: The learning function of NN-driven fuzzy reasoning under changes of reasoning environment [PDF]

Whereas conventional fuzzy reasonings are associated with tuning problems, which are lack of membership functions and inference rule designs, a neural network driven fuzzy reasoning (NDF) capable of determining membership functions by neural network is ...
Hayashi, Isao, Nomura, Hiroyoshi, Wakami, Noboru   +2 more
core   +1 more source

From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures

Advanced Robotics Research, EarlyView.
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley   +1 more source

A Hybrid Fuzzy Wavelet Neural Network Model with Self-Adapted Fuzzy c-Means Clustering and Genetic Algorithm for Water Quality Prediction in Rivers

Complexity, 2018
Water quality prediction is the basis of water environmental planning, evaluation, and management. In this work, a novel intelligent prediction model based on the fuzzy wavelet neural network (FWNN) including the neural network (NN), the fuzzy logic (FL),
Mingzhi Huang, Di Tian, Hongbin Liu, Chao Zhang, Xiaohui Yi, Jiannan Cai, Jujun Ruan, Tao Zhang, Shaofei Kong, Guangguo Ying   +9 more
doaj   +1 more source

Art Neural Networks for Remote Sensing: Vegetation Classification from Landsat TM and Terrain Data [PDF]

, 1995
A new methodology for automatic mapping from Landsat Thematic Mapper (TM) and terrain data, based on the fuzzy ARTMAP neural network, is developed. System capabilities are tested on a challenging remote sensing classification problem, using spectral and ...
Carpenter, Gail A., Gjaja, Marin N., Gopal, Sucharita, Woodcock, Curtis E.   +3 more
core   +3 more sources

Astrocyte Enrichment of 3D Cortical Constructs Enhances Brain Repair

Advanced Science, EarlyView.
This study highlights the role of astrocytes in supporting neural progenitor cell survival and differentiation after traumatic brain injury. Astrocytes enhanced neuronal differentiation, improved cell survival in co‐cultures, and promoted integration of microfluidics‐based implants with host tissue following implantation. Additionally, increased axonal
Elisa M. Cruz, Luana C. Soares, Gretchen Greene, Fernando Messore, Mohammed Abuelem, Mingyu Li, Caroline Andersen, Mirriam Domocos, Elisa Vitiello, Rabeah Abdul Razak, Marlene Lawston, Gabriel Moser, Talia Vasaturo‐Kolodner, Mona Barkat, Roslyn M. Bill, Edward Mann, Linna Zhou, Mootaz M. Salman, Hagan Bayley, Zoltán Molnár, Francis G. Szele   +20 more
wiley   +1 more source

ECG Signal Recognition based on Wavelet Transform Using Neural and Fuzzy Logic [PDF]

Iraqi Journal for Electrical and Electronic Engineering, 2008
This work presents aneural and fuzzy based ECG signal recognition system based on wavelet transform. The suitable coefficients that can be used as a feature for each fuzzy network or neural network is found using a proposed best basis technique.
H. M. Abdul-Ridha, Abduladhem Abdulkareem Ali   +1 more
doaj  

Evolving Connectionist Systems for Adaptive Learning and Knowledge Discovery: Trends and Directions [PDF]

, 2015
This paper follows the 25 years of development of methods and systems for knowledge-based neural network systems and more specifically the recent evolving connectionist systems (ECOS).
Kasabov, N
core   +1 more source