Sga.c 基本遺傳算法源程序, 輸入數據文件input，
上傳時間： 2015-04-27
上傳用戶：youth25
LVQ學習矢量化算法源程序 This directory contains code implementing the Learning vector quantization network. Source code may be found in LVQ.CPP. Sample training data is found in LVQ1.PAT. Sample test data is found in LVQTEST1.TST and LVQTEST2.TST. The LVQ program accepts input consisting of vectors and calculates the LVQ network weights. If a test set is specified, the winning neuron (class) for each neuron is identified and the Euclidean distance between the pattern and each neuron is reported. Output is directed to the screen.
標簽： implementing quantization directory Learning
上傳時間： 2015-05-02
上傳用戶：hewenzhi
This project is created using the Keil ARM CA Compiler. The Logic Analyzer built into the simulator may be used to monitor and display any variable or peripheral I/O register. It is already configured to show the PWM output signal on PORT3.0 and PORT3.1 This ARM Example may be debugged using only the uVision Simulator and your PC--no additional hardware or evaluation boards are required. The Simulator provides cycle-accurate simulation of all on-chip peripherals of the ADuC7000 device series. You may create various input signals like digital pulses, sine waves, sawtooth waves, and square waves using signal functions which you write in C. Signal functions run in the background in the simulator within timing constraints you configure. In this example, several signal functions are defined in the included Startup_SIM.INI file.
標簽： the Analyzer Compiler project
上傳時間： 2013-12-19
上傳用戶：Yukiseop
This example program shows how to configure and use the A/D Converter of the following microcontroller: STMicroelectronics ST10F166 After configuring the A/D, the program reads the A/D result and outputs the converted value using the serial port. To run this program... Build the project (Project Menu, Build Target) Start the debugger (Debug Menu, Start/Stop Debug Session) View the Serial Window (View Menu, Serial Window #1) View the A/D converter peripheral (Peripheral Menu, A/D Converter) Run the program (Debug Menu, Go) A debug script (debug.ini) creates buttons that set different analog values in A/D channels. As the program runs, you will see the A/D input and output change. Other buttons create signals that generate sine wave or sawtooth patterns as analog inputs. µ Vision3 users may enable the built-in Logic Analyzer to view, measure and compare these input signals graphically.
標簽： microcontroll Converter configure following
上傳時間： 2014-12-01
上傳用戶：獨孤求源
Turbo Pascal Field Input Routines.
標簽： Routines Pascal Turbo Field
上傳時間： 2015-05-05
上傳用戶：miaochun888
Single Output 神經網絡實例演示1
上傳時間： 2014-06-09
上傳用戶：xiaoyunyun
數字運算，判斷一個數是否接近素數 A Niven number is a number such that the sum of its digits divides itself. For example, 111 is a Niven number because the sum of its digits is 3, which divides 111. We can also specify a number in another base b, and a number in base b is a Niven number if the sum of its digits divides its value. Given b (2 <= b <= 10) and a number in base b, determine whether it is a Niven number or not. Input Each line of input contains the base b, followed by a string of digits representing a positive integer in that base. There are no leading zeroes. The input is terminated by a line consisting of 0 alone. Output For each case, print "yes" on a line if the given number is a Niven number, and "no" otherwise. Sample Input 10 111 2 110 10 123 6 1000 8 2314 0 Sample Output yes yes no yes no
上傳時間： 2015-05-21
上傳用戶：daguda
This zip describes how two SSCs in I2S mode play and record wave files through a two-input data method. Includes main.html file for help.
標簽： describes two-input through record
上傳時間： 2013-12-23
上傳用戶：lhw888
This applet illustrates the prediction capabilities of the multi-layer perceptrons. It allows to define an input signal on which prediction will be performed. The user can choose the number of input units, hidden units and output units, as well as the delay between the input series and the predicted output series. Then it is possible to observe interesting prediction properties.
標簽： capabilities illustrates multi-layer perceptrons
上傳時間： 2015-06-17
上傳用戶：lnnn30
Rotating shafts experience a an elliptical motion called whirl. It is important to decompose this motion into a forward and backward whil orbits. The current function makes use of two sensors to generate a bi-directional spectrogram. The method can be extended to any time-frequency distribution ％ ％ compute the forward/backward Campbell/specgtrogram ％ ％ INPUT: ％ y (n x 2) each column is measured from a different sensor ％ /////// ％ __ ％ |s1| y(:,1) ％ |__| ％ __ ％ / \ ________|/ ％ | | | s2 |/ y(:,2) ％ \____/ --------|/ ％ ％ Fs Sampling frequnecy ％ ％ OUTPUT: ％ B spectrogram/Campbel diagram ％ x x-axis coordinate vector (time or Speed) ％ y y-axis coordinate vector (frequency [Hz])
標簽： experience elliptical decompose important
上傳時間： 2015-06-23
上傳用戶：372825274
