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📌📌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



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#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

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