forked from LA-Pineda/Associative-Memory-Experiments
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathtest-am.py
38 lines (32 loc) · 1011 Bytes
/
test-am.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
# Copyright [2020] Luis Alberto Pineda Cortés, Gibrán Fuentes Pineda,
# Rafael Morales Gamboa.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import numpy as np
from associative import *
# Memory for 4 features of size 3
m = AssociativeMemory(4,3)
# 0: 1 1 1 1
# 1: 0 0 0 0
# 2: 0 0 0 0
v0 = np.array([0, 0, 0, 0])
v1 = np.array([1, 1, 1, 1])
v2 = np.array([2, 2, 2, 2])
# 0: 1 0 0 0
# 1: 0 1 0 1
# 2: 0 0 1 0
vd = np.array([0, 1, 2, 1])
# 0: 0 0 0 1
# 1: 1 0 1 0
# 2: 0 1 0 0
vi = np.array([1, 2, 1, 0])