#part_17post_5 📌📌يافتن تفكيك كننده غير خطي با استفاده از شبكه عصبي SVM
✅ جهت انجام اين كار بايد يك نگاشت غير خطي انجام دهيم.
✅نگاشت يعني به عنوان مثال يك نقطه اي را از فضايي خطي مانند x به فضايي غيرخطي مانند z انتقال دهيم.
⭕️جهت انجام نگاشت از توابع كرنل استفاده ميكنيم. كه توابع كرنل انواع متفاوتي دارند: ١-چند جمله اي ٢-تابع كرنل MLP ٣-گوسي
✅يعني در حالت خطي، تفكيك كننده ما به شكل زير بود: y=sign(w’x+b) —-> y=sign[zigma (alpha(i)*y(i)*x’(i)*x) +b]
اما در حالت غيرخطي داريم: y=sign[zigma alpha(i)*y(i)*kernel(x(i),x)+b] —————————————— جهت آموزش به زبان ساده متلب به آيدي زير مراجعه كنيد👇 🆔@matlab_guidance
#part_17post_5 📌📌يافتن تفكيك كننده غير خطي با استفاده از شبكه عصبي SVM
✅ جهت انجام اين كار بايد يك نگاشت غير خطي انجام دهيم.
✅نگاشت يعني به عنوان مثال يك نقطه اي را از فضايي خطي مانند x به فضايي غيرخطي مانند z انتقال دهيم.
⭕️جهت انجام نگاشت از توابع كرنل استفاده ميكنيم. كه توابع كرنل انواع متفاوتي دارند: ١-چند جمله اي ٢-تابع كرنل MLP ٣-گوسي
✅يعني در حالت خطي، تفكيك كننده ما به شكل زير بود: y=sign(w’x+b) —-> y=sign[zigma (alpha(i)*y(i)*x’(i)*x) +b]
اما در حالت غيرخطي داريم: y=sign[zigma alpha(i)*y(i)*kernel(x(i),x)+b] —————————————— جهت آموزش به زبان ساده متلب به آيدي زير مراجعه كنيد👇 🆔@matlab_guidance
BY MATLAB_guidance
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