代码搜索：Predator
找到约 158 项符合「Predator」的源代码
代码结果 158
www.eeworm.com/read/221024/14773750
html http:^^www.cs.cornell.edu^info^courses^current^cs537^predator.html
MIME-Version: 1.0
Server: CERN/3.0
Date: Sunday, 24-Nov-96 22:06:29 GMT
Content-Type: text/html
Content-Length: 4398
Last-Modified: Thursday, 17-Oct-96 18:38:57 GMT
The
www.eeworm.com/read/221024/14774051
html http:^^www.cs.cornell.edu^info^courses^current^cs537^project1.html
MIME-Version: 1.0
Server: CERN/3.0
Date: Sunday, 24-Nov-96 22:43:15 GMT
Content-Type: text/html
Content-Length: 10366
Last-Modified: Monday, 16-Sep-96 20:58:14 GMT
CS 537
www.eeworm.com/read/221024/14777469
htm http:^^www.cs.utexas.edu^users^schwartz^pub.htm
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Server: CERN/3.0
Date: Tuesday, 07-Jan-97 15:50:37 GMT
Content-Type: text/html
Content-Length: 39253
Last-Modified: Wednesday, 25-Dec-96 18:50:26 GMT
www.eeworm.com/read/134894/13971755
m attentionstrats.m
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Simulator for Attentional Strategies
%
% By: Kevin Passino
% Version: 4/19/01
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
clear
Tmax=100; % Le
www.eeworm.com/read/134894/13971969
m attentionenv.m
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Simulator for predatory/prey environment for
% SPSA for Attentional Strategy Design
%
% By: Kevin Passino
% Version: 4/28/01
%
%%%%%%%%%%%%%%%%%%%%%%%%%
www.eeworm.com/read/466243/7041464
m program_9b.m
% Chapter 9 - Interacting Species.
% Program_9b - The Holling-Tanner Model (Time series).
% Copyright Birkhauser 2004. Stephen Lynch.
% Time series of a predator/prey model.
clear
hold on
sys=
www.eeworm.com/read/321263/13409885
m program_9b.m
% Chapter 9 - Interacting Species.
% Program_9b - The Holling-Tanner Model (Time series).
% Copyright Birkhauser 2004. Stephen Lynch.
% Time series of a predator/prey model.
clear
hold on
sys=
www.eeworm.com/read/484493/6577841
m ex15bch1.m
function ex15bch1
a = 2;
c = 1;
options = odeset('RelTol',1e-6);
[t,ysol] = ode45(@odes,[0 10],[1; 3],options,a,c);
x = ysol(:,1);
y = ysol(:,2);
G = exp(c*x + a*y) ./ (x.^c .* y.^a);
figure
plot(x,y)
www.eeworm.com/read/365527/9858411
m lotka.m
function yp = lotka(t,y)
% Lotka-Volterra predator-prey模型
global ALPHA BETA
yp = [y(1) - ALPHA*y(1)*y(2); -y(2) + BETA*y(1)*y(2)];
www.eeworm.com/read/359240/10159894
m 例4-5.m
function yp = lotka(t,y)
% Lotka-Volterra predator-prey模型
global ALPHA BETA
yp = [y(1) - ALPHA*y(1)*y(2); -y(2) + BETA*y(1)*y(2)];