this a pack include source code for quartus 2. It is an implementation of the LC2. The LC-2 computer is described in Introduction to Computing Systems from Bits & Gates to C & Beyond by Yale Patt and Sanjay Patel, McGraw Hill, 2001. The LC2 model can be run as a simulation or downloaded to the UP3 in a larger model, TOP_LC2 that adds video output. Push buttons reset and single step the processor and a video output display of registers is generated. This state machine VHDL-based model of the LC-2 includes all source files. Currently compiled for a Cyclone EP1C6Q240 FPGA.
標(biāo)簽： implementation include quartus source
上傳時(shí)間： 2013-12-25
上傳用戶(hù)：壞壞的華仔
Report Machine Sample
標(biāo)簽： Machine Report Sample
上傳時(shí)間： 2015-12-20
上傳用戶(hù)：ls530720646
Quantum Platform(QP) is a family of very lightweight, state machine-based frameworks for embedded systems. QP enables developing well-structured embedded applications as a set of concurrently executing hierarchical state machines (UML statecharts).
標(biāo)簽： machine-based lightweight frameworks Platform
上傳時(shí)間： 2015-12-22
上傳用戶(hù)：jichenxi0730
Creating the Auto Answering Machine Application
標(biāo)簽： Application Answering Creating Machine
上傳時(shí)間： 2013-12-06
上傳用戶(hù)：chenbhdt
Feature selection is a preprocessing technique frequently used in data mining and machine learning tasks. It can reduce dimensionality, remove irrelevant data, increase learning accuracy, and improve results comprehensibility. FCBF is a fast correlation-based filter algorithm designed for high-dimensional data and has been shown effective in removing both irrelevant features and redundant features
標(biāo)簽： preprocessing frequently selection technique
上傳時(shí)間： 2014-01-19
上傳用戶(hù)：lindor
SIMULATION OF ELECTRIC MACHINE AND DRIVE SYSTEMS USING matlab and simulink
標(biāo)簽： SIMULATION ELECTRIC simulink MACHINE
上傳時(shí)間： 2016-01-04
上傳用戶(hù)：hphh
To estimate the input-output mapping with inputs x ％ and outputs y generated by the following nonlinear, ％ nonstationary state space model: ％ x(t+1) = 0.5x(t) + [25x(t)]/[(1+x(t))^(2)] ％ + 8cos(1.2t) + process noise ％ y(t) = x(t)^(2) / 20 + 6 squareWave(0.05(t-1)) + 3 ％ + time varying measurement noise ％ using a multi-layer perceptron (MLP) and both the EKF and ％ the hybrid importance-samping resampling (SIR) algorithm.
標(biāo)簽： input-output the generated following
上傳時(shí)間： 2014-01-05
上傳用戶(hù)：royzhangsz
Support Vector Machine is small sample method based on statistic learning theory. It is a new method to deal with the highly nonlinear classification and regression problems .It can better deal with the small sample, nonlinear and
標(biāo)簽： method statistic learning Support
上傳時(shí)間： 2014-12-02
上傳用戶(hù)：zukfu
很全的中斷手冊(cè)。 INT 00 - CPU-generated - DIVIDE ERROR INT 01 - CPU-generated - SINGLE STEP (80386+) - DEBUGGING EXCEPTIONS INT 02 - external hardware - NON-MASKABLE INTERRUPT INT 03 - CPU-generated - BREAKPOINT INT 04 - CPU-generated - INTO DETECTED OVERFLOW INT 05 - PRINT SCREEN CPU-generated (80186+) - BOUND RANGE EXCEEDED INT 06 - CPU-generated (80286+) - INVALID OPCODE INT 07 - CPU-generated (80286+) - PROCESSOR EXTENSION NOT AVAILABLE INT 08 - IRQ0 - SYSTEM TIMER CPU-generated (80286+) . . .
標(biāo)簽： CPU-generated INT DIVIDE SINGLE
上傳時(shí)間： 2013-12-27
上傳用戶(hù)：aa54
將軍——一種新的求解大規(guī)模問(wèn)題的支持向量機(jī)程序（軟件）。A Large Scale Machine Learning Toolbox
標(biāo)簽： Learning Machine Toolbox Large
上傳時(shí)間： 2013-12-14
上傳用戶(hù)：zq70996813
蟲(chóng)蟲(chóng)下載站版權(quán)所有 京ICP備2021023401號(hào)-1
