Circuits and Networks: Analysis and Synthesis - …

AB - This paper proposes interval constraint networks and interval propagation techniques for automatic tolerance design. To develop an intelligent automatic tolerance design mechanism, the following interrelated problems are addressed: (1) representing the relationships between the tolerances of the entities, attributes, and the functional requirements of a design component by a constraint network, (2) developing tolerance propagation techniques in the network that will satisfy the constraints between the entities, attributes and functional requirement. For the purpose of tolerance design, we propose new definitions for consistency of constraints and consistency of a constraint network. New forward and backward propagation techniques achieve worst-case tolerance analysis and synthesis, respectively. A tank design problem illustrates the use of the procedures for tolerance analysis and synthesis. The discussion and examples compare the new constraint network and propagation techniques with previous works.

T1 - Interval constraint networks for tolerance analysis and synthesis

Social network analysis [SNA] is the mapping and measuring of relationships and flows between people, groups, organizations, computers, URLs, and other connected information/knowledge entities. The nodes in the network are the people and groups while the links show relationships or flows between the nodes. SNA provides both a visual and a mathematical analysis of human relationships. Management consultants use this methodology with their business clients and call it Organizational Network Analysis [ONA]. ONA allows you to x-ray your organization and reveal the managerial nervous system that connects everything.


Book Bored: Circuits & Networks Analysis and Synthesis

Circuits And Network Analysis And Synthesis By …

We present results for the analysis and synthesis of a class of neural networks with sparse connections. Our design procedure guarantees to synthesize neural networks with arbitrarily predetermined sparse connection structures and to store a given set of desired bipolar patterns.


F5 Networks | Secure application delivery

AB - We present results for the analysis and synthesis of a class of neural networks with sparse or partial interconnecting structure. Our design procedure guarantees to synthesize neural networks with arbitrarily predetermined sparse interconnection structures and to store any given set of desired bipolar patterns as memories. We show that a sufficient condition for the existence of a design for neural networks with sparse interconnection is self feedback for every neuron in the network. Several specific examples are included to demonstrate the applicability of the methodology advanced herein.

CLAM::.. C++ Library for Audio and Music

This paper proposes interval constraint networks and interval propagation techniques for automatic tolerance design. To develop an intelligent automatic tolerance design mechanism, the following interrelated problems are addressed: (1) representing the relationships between the tolerances of the entities, attributes, and the functional requirements of a design component by a constraint network, (2) developing tolerance propagation techniques in the network that will satisfy the constraints between the entities, attributes and functional requirement. For the purpose of tolerance design, we propose new definitions for consistency of constraints and consistency of a constraint network. New forward and backward propagation techniques achieve worst-case tolerance analysis and synthesis, respectively. A tank design problem illustrates the use of the procedures for tolerance analysis and synthesis. The discussion and examples compare the new constraint network and propagation techniques with previous works.

Praat: doing Phonetics by Computer

AB - We present results for the analysis and synthesis of a class of neural networks with sparse connections. Our design procedure guarantees to synthesize neural networks with arbitrarily predetermined sparse connection structures and to store a given set of desired bipolar patterns.