. ، system و learn…

فهرست عناوین اصلی در این پاورپوینت

فهرست عناوین اصلی در این پاورپوینت

در حال حاضر فهرست عناوین برای مطالب این اسلاید پاورپوینت استخراج نشده است!!!
فایل پاورپوینت را با استفاده از دکمه های رنگی زیر می توانید دانلود کنید

نوع زبان: انگلیسی حجم: 1.63 مگا بایت
نوع فایل: اسلاید پاورپوینت تعداد اسلایدها: 33 صفحه
سطح مطلب: نامشخص پسوند فایل: pptx
گروه موضوعی: زمان استخراج مطلب: 2019/06/16 06:00:28

لینک دانلود رایگان لینک دانلود کمکی

اسلایدهای پاورپوینت مرتبط در پایین صفحه

عبارات مهم استفاده شده در این مطلب

عبارات مهم استفاده شده در این مطلب

., fuzzy, system, inference, learn, line, block, anfi, set, go, version, adaptive,

توجه: این مطلب در تاریخ 2019/06/16 06:00:28 به صورت خودکار از فضای وب آشکار توسط موتور جستجوی پاورپوینت جمع آوری شده است و در صورت اعلام عدم رضایت تهیه کننده ی آن، طبق قوانین سایت از روی وب گاه حذف خواهد شد. این مطلب از وب سایت زیر استخراج شده است و مسئولیت انتشار آن با منبع اصلی است.

http://gcek.ac.in/ece/fdp/materials/2/Dr.Sinith/Presentations/audioProcessingInMatlabSimulink.pptx

در صورتی که محتوای فایل ارائه شده با عنوان مطلب سازگار نبود یا مطلب مذکور خلاف قوانین کشور بود لطفا در بخش دیدگاه (در پایین صفحه) به ما اطلاع دهید تا بعد از بررسی در کوتاه ترین زمان نسبت به حدف با اصلاح آن اقدام نماییم. جهت جستجوی پاورپوینت های بیشتر بر روی اینجا کلیک کنید.

عبارات پرتکرار و مهم در این اسلاید عبارتند از: ., fuzzy, system, inference, learn, line, block, anfi, set, go, version, adaptive,

مشاهده محتوای متنیِ این اسلاید ppt

مشاهده محتوای متنیِ این اسلاید ppt

dr. m. s. sinith assistant professor department of electronics and commn. engg. rajiv gandhi institute of technology kottayam … in this talk we are going to apply two neural network controller design techniques to fuzzy controllers and construct the so called on line adaptive neuro fuzzy controllers for nonlinear control systems. we are going to use matlab simulink and handle graphics to demonstrate the concept. so you can also get a preview of some of the features of the fuzzy logic toolbox or flt version ۲. wave file manipulation reading writing recording … time domain processing delay filtering sptools … frequency domain processing spectrogram pitch determination auto correlation sift amdf hps … others formant estimation speech coding ۱۲ ۵ ۱۷ ۲ specifically this is the outline of the talk. wel start from the basics introduce the concepts of fuzzy sets and membership functions. by using fuzzy sets we can formulate fuzzy if then rules which are commonly used in our daily expressions. we can use a collection of fuzzy rules to describe a system behavior this forms the fuzzy inference system or fuzzy controller if used in control systems. in particular we can can apply neural networks learning method in a fuzzy inference system. a fuzzy inference system with learning capability is called anfis stands for adaptive neuro fuzzy inference system. actually anfis is already available in the current version of flt but it has certain restrictions. we are going to remove some of these restrictions in the next version of flt. most of all we are going to have an on line anfis block for simulink this block has on line learning capability and it ideal for on line adaptive neuro fuzzy control applications. we will use this block in our demos one is inverse learning and the other is feedback linearization. matlab simulink signal processing toolbox dsp blockset ۱۲ ۵ ۱۷ ۳ specifically this is the outline of the talk. wel start from the basics introduce the concepts of fuzzy sets and membership functions. by using fuzzy sets we can formulate fuzzy if then rules which are commonly used in our daily expressions. we can use a collection of fuzzy rules to describe a system behavior this forms the fuzzy inference system or fuzzy controller if used in control systems. in particular we can can apply neural networks learning method in a fuzzy inference system. a fuzzy inference system with learning capability is called anfis stands for adaptive neuro fuzzy inference system. actually anfis is already available in the current version of flt but it has certain restrictions. we are going to remove some of these restrictions in the next version of flt. most of all we are going to have an on line anfis block for simulink this block has on line learning capability and it ideal for on line adaptive neuro fuzzy control applications. we will use this block in our demos one is inverse learning and the other is feedback linearization. to read a .wav file pcm format only wavread y wavread file … wavread file n۱ n۲ y fs nbits opts wavread file … wavread file n y fs nbits wavread file if the wav file is stereo y will be a two column matrix. ۱۲ ۵ ۱۷ ۴ specifically this is the outline of the talk. wel start from the basics introduce the concepts of fuzzy sets and membership functions. by using fuzzy sets we can formulate fuzzy if then rules which are commonly used in our daily expressions. we can use a collection of fuzzy rules to describe a system behavior this forms the fuzzy inference system or fuzzy controller if used in control systems. in particular we can can apply neural networks learning method in a fuzzy inference system. a fuzzy inference system with learning capability is called anfis stands for adaptive neuro fuzzy inference system. actually anfis is already available in the current version of flt but it has certain restrictions. we are going to remove some of these restrictions in the next version of flt. most of all we are going to have an on line anfis block for simulink this block has on line learning capability and it ideal for on line adaptive neuro fuzzy control applications. we will use this block in our demos one is inverse learning and the other is feedback linearization. example wavread ۱.m y fs wavread ‘song.wav plot ۱ length y fs y xlabel time in seconds ylabel amplitude ۱۲ ۵ ۱۷ ۵ specifically this is the outline of the talk. wel start from the basics introduce the concepts of fuzzy sets and membership functions. by using fuzzy sets we can formulate fuzzy if then rules which are commonly used in our daily expressions. we can use a collection of fuzzy rules to describe a system behavior this forms the fuzzy inference system or fuzzy controller if used in control systems. in particular we can can apply neural networks learning method in a fuzzy inference system. a fuzzy inference system with learning capability is called anfis stands for adaptive neuro fuzzy inference system. actually anfis is already available in the current version of flt but it has certain restrictions. we are going to remove some of these restrictions in the next version of flt. most of all we are going to have an on line anfis block for simulink this block has on line learning capability and it ideal for on line adaptive neuro fuzzy control applications. we will use this block in our demos one is inverse learning and the other is feedback linearization. to play sound using windows audio output device wavplay sound soundsc wavplay y fs sound y fs soundsc … autoscale the sound ۱۲ ۵ ۱۷ ۶ specifically this is the outline of the talk. wel start from the basics introduce the concepts of fuzzy sets and membership functions. by using fuzzy sets we can formulate fuzzy if then rules which are commonly used in our daily expressions. …

کلمات کلیدی پرکاربرد در این اسلاید پاورپوینت: ., fuzzy, system, inference, learn, line, block, anfi, set, go, version, adaptive,

این فایل پاورپوینت شامل 33 اسلاید و به زبان انگلیسی و حجم آن 1.63 مگا بایت است. نوع قالب فایل pptx بوده که با این لینک قابل دانلود است. این مطلب برگرفته از سایت زیر است و مسئولیت انتشار آن با منبع اصلی می باشد که در تاریخ 2019/06/16 06:00:28 استخراج شده است.

http://gcek.ac.in/ece/fdp/materials/2/Dr.Sinith/Presentations/audioProcessingInMatlabSimulink.pptx

  • جهت آموزش های پاورپوینت بر روی اینجا کلیک کنید.
  • جهت دانلود رایگان قالب های حرفه ای پاورپوینت بر روی اینجا کلیک کنید.

رفتن به مشاهده اسلاید در بالای صفحه


پاسخی بگذارید

نشانی ایمیل شما منتشر نخواهد شد. بخش‌های موردنیاز علامت‌گذاری شده‌اند *