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Hetero associative memory network || Example with mistaken and missing entries

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  • เผยแพร่เมื่อ 19 ส.ค. 2024
  • #softcomputing #algorithm #neuralnetwork #datamining #machinelearning
    Hetero Associative Memory Network with Solved Example involving missing and mistaken data entries
    Introduction:1.1 Biological neurons, McCulloch and Pitts models of neuron, Types
    of activation function, Network architectures, Knowledge representation, Hebb net
    1.2 Learning processes: Supervised learning, Unsupervised learning and
    Reinforcement learning
    1.3 Learning Rules : Hebbian Learning Rule, Perceptron Learning Rule, Delta
    Learning Rule, Widrow-Hoff Learning Rule, Correlation Learning Rule, WinnerTake-All Learning Rule
    1.4 Applications and scope of Neural Networks
    10
    2
    Supervised Learning Networks :
    2.1 Perception Networks - continuous & discrete, Perceptron convergence theorem,
    Adaline, Madaline, Method of steepest descent, - least mean square algorithm,
    Linear & non-linear separable classes & Pattern classes,
    2.2 Back Propagation Network,
    2.3 Radial Basis Function Network.
    12
    3
    Unsupervised learning network:
    3.1 Fixed weights competitive nets,
    3.2 Kohonen Self-organizing Feature Maps, Learning Vector Quantization,
    3.3 Adaptive Resonance Theory - 1
    06
    4
    Associative memory networks:
    4.1 Introduction, Training algorithms for Pattern Association,
    4.2 Auto-associative Memory Network, Hetero-associative Memory Network,
    Bidirectional Associative Memory,
    4.3 Discrete Hopfield Networks.
    08
    5
    Fuzzy Logic:
    5.1 Fuzzy Sets, Fuzzy Relations and Tolerance and Equivalence
    5.2 Fuzzification and Defuzzification
    5.3 Fuzzy Controllers

ความคิดเห็น • 20

  • @amitbinjola1451
    @amitbinjola1451 5 ปีที่แล้ว +3

    Short & simple video on internet

  • @simpleworld542
    @simpleworld542 4 ปีที่แล้ว +4

    That is great

  • @RakanAlrasheed-rm9wc
    @RakanAlrasheed-rm9wc 4 หลายเดือนก่อน

    for the second test, I believe y2 should be -8 which will be -1 per the activation function instead of 0.

  • @ashwinsagar9957
    @ashwinsagar9957 2 ปีที่แล้ว

    Sir mza he aa gya video m

  • @karuneshx4390
    @karuneshx4390 5 ปีที่แล้ว +3

    Thanks bro

  • @ashwinsagar9957
    @ashwinsagar9957 2 ปีที่แล้ว

    Keep uploading 🔥🔥

  • @Sid37612
    @Sid37612 2 ปีที่แล้ว

    Thanks alot man. This was Really helpful

  • @faizanawaz123
    @faizanawaz123 2 ปีที่แล้ว

    Thabks nice topic

  • @020hamza2
    @020hamza2 ปีที่แล้ว

    goooooooooooooooooood

  • @oshogarg5215
    @oshogarg5215 4 ปีที่แล้ว +4

    bhai tumne galat calculate kara hai w1 matrix... ! S1 ki values galat likhi hai question se answer mai. Baki uske alawa shi hai

  • @nikhilprabhu3137
    @nikhilprabhu3137 5 ปีที่แล้ว

    Centroid method weighted avg method etc examples are there ?

  • @alwaaffa
    @alwaaffa 2 ปีที่แล้ว

    You can help me with a master’s thesis for my software part (coding) in Python?

  • @Trisshaa
    @Trisshaa 9 หลายเดือนก่อน

    How did we get that input vector table at the beginning of the problem??

    • @siyapatel8004
      @siyapatel8004 9 หลายเดือนก่อน

      It is the part of question

  • @ravirayn
    @ravirayn 5 ปีที่แล้ว +1

    Please help me...
    I have a question of bi-directional associative memory...
    If you give me your email, I'll mail you the question.

  • @rohyithyelchur2404
    @rohyithyelchur2404 ปีที่แล้ว

    for binary if the response is 0 then output is 0 man not 1

  • @dharmendrakumarsingh7873
    @dharmendrakumarsingh7873 5 ปีที่แล้ว

    Bhai agar example solve kr bataoge to jyada sahi smjh mai ayega, aise to pura read kar de rahe ho jo bhi tumne likha hai