VLSI for Artificial Intelligence (eBook, PDF)

Redaktion: Delgado-Frias, Jose G.; Moore, Will

• Format: PDF

Produktbeschreibung

Zur Zeit liegt uns keine Inhaltsangabe vor.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Springer US
• Seitenzahl: 274
• Erscheinungstermin: 6. Dezember 2012
• Englisch
• ISBN-13: 9781461316190
• Artikelnr.: 43987176

Inhaltsangabe

1 Prolog Machines.- 1.1 From Low Level Semantic Description of Prolog to Instruction Set and VLSI Design.- 1.2 A 32 Bit Processor for Compiled Prolog.- 1.3 CARMEL-1: A VLSI Architecture for Flat Concurrent Prolog.- 1.4 VLSI for Parallel Execution of Prolog.- 2 Functional Programming Oriented Architectures.- 2.1 Supporting Functional and Logic Programming Languages through a Data Parallel VLSI Architecture.- 2.2 Translating Declaratively Specified Knowledge and Usage Requirements into a Reconfigurable Machine.- 3 Garbage Collection.- 3.1 VLSI-Appropriate Garbage Collection Support.- 3.2 A Self-timed Circuit for a Prolog Machine.- 4 Content-Addressable Memory.- 4.1 VLSI and Rule-Based Systems.- 4.2 Unify with Active Memory.- 4.3 The Pattern Addressable Memory: Hardware for Associative Processing.- 5 Knowledge Based Systems.- 5.1 A High Performance Relational Algebraic Processor for Large Knowledge Bases.- 5.2 A WSI Semantic Network Architecture.- 6 Neural Architectures.- 6.1 A VLSI Implementation of Multilayered Neural Networks.- 6.2 A Fully Digital Integrated CMOS Hopfield Network Including the Learning Algorithm.- 6.3 A Neural Network for 3-D VLSI Accelerator.- 6.4 Shift Invariant Associative Memory.- 7 Digital and Analog VLSI Neural Networks.- 7.1 VLSI Bit-Serial Neural Networks.- 7.2 A New CMOS Architecture for Neural Networks.- 7.3 A Limited-Interconnect, Highly Layered Synthetic Neural Architecture.- 7.4 VLSI-Design of Associative Networks.- 7.5 Fully-Programmable Analogue VLSI Devices for the Implementation of Neural Networks.- 8 Architectures for Neural Computing.- 8.1 Are Special Chips Necessary for Neural Computing?.- 8.2 A VLSI Systolic Array Dedicated to Hopfield Neural Network.- 8.3 An Integrated System for Neural Network Simulations.