Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174)最新文献_第2页

Neural network training using genetic algorithms in ATM traffic control 基于遗传算法的ATM交通控制神经网络训练

Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174) Pub Date : 1998-03-21 DOI: 10.1109/IJSIS.1998.685484

Xuanzhao Lu, N. Bourbakis

引用次数: 2

Implementation of a multi-fingered robotic hand using a method of fuzzy blocks 用模糊块的方法实现多指机械手

Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174) Pub Date : 1998-03-21 DOI: 10.1109/IJSIS.1998.685457

S. M. Spano, N. Bourbakis

引用次数: 0

Efficient and accurate pitch estimation using FFT 高效和准确的基音估计使用FFT

Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174) Pub Date : 1998-03-21 DOI: 10.1109/IJSIS.1998.685475

M. Babu

引用次数: 4

Classification of sonar data for a mobile robot using neural networks 基于神经网络的移动机器人声纳数据分类

Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174) Pub Date : 1998-03-21 DOI: 10.1109/IJSIS.1998.685456

D. Diep, A. Johannet, P. Bonnefoy, F. Harroy, P. Loiseau

引用次数: 6

Adaptive virtual model control of a bipedal walking robot 双足步行机器人的自适应虚拟模型控制

Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174) Pub Date : 1998-03-21 DOI: 10.1109/IJSIS.1998.685453

Jianjuen Hrr, J. Pratt, C. Chew, H. Herr, G. Pratt

引用次数: 26

Multi-agent paradigms and connectionist models of associated architectures in robotics 机器人学中相关体系结构的多智能体范式和连接主义模型

Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174) Pub Date : 1998-03-21 DOI: 10.1109/IJSIS.1998.685452

A. Radhakrishnan, L. Tsoukalas

引用次数: 0

The evolution of DNA computing: nature's solution to a path problem DNA计算的进化:路径问题的自然解决方案

Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174) Pub Date : 1998-03-21 DOI: 10.1109/IJSIS.1998.685430

L. Landweber

引用次数: 6

Feature extraction of protein folds based on secondary structure transformation 基于二级结构变换的蛋白质折叠特征提取

Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174) Pub Date : 1998-03-21 DOI: 10.1109/IJSIS.1998.685436

T. Maeda, K. Kamada, T. Ohkawa, N. Komoda, H. Nakamura, A. Kidera

引用次数: 2

Using the 3T architecture for tracking Shuttle RMS procedures 使用3T架构来跟踪航天飞机RMS程序

Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174) Pub Date : 1998-03-21 DOI: 10.1109/IJSIS.1998.685440

R. Bonasso, R. Kerri, K. Jenks, G. Johnson

{"title":"Using the 3T architecture for tracking Shuttle RMS procedures","authors":"R. Bonasso, R. Kerri, K. Jenks, G. Johnson","doi":"10.1109/IJSIS.1998.685440","DOIUrl":"https://doi.org/10.1109/IJSIS.1998.685440","url":null,"abstract":"Describes the use of a three-tiered robot control software architecture, known as 3T, as the software framework for automating the job of NASA flight controllers as they track procedures executed by on-orbit astronauts. The project discussed focuses on automating the procedures relating to the Shuttle's Remote Manipulator System and is a pathfinder project for the automation of other Shuttle operations. The RMS Assistant system is designed to track the expected steps of the crew as they carry out RMS operations, detecting malfunctions in the RMS system from failures or improper configurations as well as improper or incomplete procedures by the crew. In this regard, it is a \"flight controller in a box\". Moving the flight controller functions on-orbit is part of a larger program of downsizing general Space Shuttle operations. The 3T architecture was designed for intelligent autonomous robots, but has an added capability that allows for variable autonomy to include full teleoperation. In that mode, the software acts as a monitoring system, and thus provides an \"assistant\" framework now and accommodates more autonomous operations in the future.","PeriodicalId":289764,"journal":{"name":"Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123919458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 13

Control: an emergent biological property 控制:一种突现的生物特性

Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174) Pub Date : 1998-03-21 DOI: 10.1109/IJSIS.1998.685419

J. R. Alexander

{"title":"Control: an emergent biological property","authors":"J. R. Alexander","doi":"10.1109/IJSIS.1998.685419","DOIUrl":"https://doi.org/10.1109/IJSIS.1998.685419","url":null,"abstract":"This paper contains the speculation that associative memory neural circuitry evolved from control neural circuitry. As yet, no one been able to train a jellyfish to any associations. The jellyfish however, can attack prey, feed, swim, reproduce and perform all other functions necessary for life. Since we know that slightly more advanced creatures can form associations, a reasonable speculation would be that the neural circuitry involved in forming associative memories evolved from the neural circuitry involved in control tasks. In this paper this speculation is further explored and its consequences discussed. Our explorations have given further credence to this speculation. We have been experimenting with simple biologically plausible artificial neural networks, or ANNs, which consist of two input neurons and one output neuron and are called three-neuron controllers (TNC). The biological plausibility of our ANNs arises from the fact that the activity level of the receiving neuron is determined by integrating over time the transmissions of the two input neurons. The transmission rate of the two input neurons is determined by their activity levels, which we have assumed constant over each integration. The integrating of the two inputs achieves a form of control which resembles that obtained by a fuzzy logic controller.","PeriodicalId":289764,"journal":{"name":"Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126287713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2