Mathematical Analysis of the Prey-Predator System with Immigrant Prey Using the Soft Computing Technique

<div>Absolute errors obtained by the LeNN-WOA-NM algorithm under the influence of variations in <svg height="9.39034pt" id="M532" style="vertical-align:-3.42943pt" version="1.1" viewbox="-0.0498162 -5.96091 10.7353 9.39034" width="10.7353pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M478 372C478 418 458 448 431 448C409 448 389 431 389 410C389 404 391 400 394 395C398 388 406 371 406 348C406 253 308 122 251 51H249C254 122 249 257 231 336C212 421 189 448 159 448C126 448 75 412 23 327L48 306C83 354 103 371 115 371C125 371 134 360 144 334C185 224 192 64 183 -19C146 -100 116 -202 110 -244L125 -261C154 -259 208 -234 222 -220C222 -194 225 -84 235 -23C247 -3 273 36 308 79C379 165 478 288 478 372Z"></path></g><g transform="matrix(.0091,0,0,-0.0091,5.668,3.132)"><path d="M389 0V32C297 38 291 46 291 118V635C234 613 175 595 109 583V556L161 554C203 552 207 547 207 497V118C207 46 201 38 110 32V0H389Z"></path></g></svg> on population densities of the prey-predator model. (a) Population density of local prey. (b) Population density of immigrant prey. (c) Population density of the predator.</div>

Discrete Dynamics in Nature and Society

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Figure 16

Figure 16: Mathematical Analysis of the Prey-Predator System with Immigrant Prey Using the Soft Computing Technique 