run_sim_py.bash

#!/bin/bash

CURDIR=$(cd $(dirname $0);pwd)
LOGDIR=${CURDIR}/log

mkdir -p ${LOGDIR}

HOPNET=hopnet_dynamics_logistic.py
PYTHON=$(which python)

N_NEURONS=1000   # The number of neurons
N_PATTERNS=200   # The maximum number of patterns
N_STEPS=25       # The number of steps for recall process
N_UPDATES=10       # The number of updates in learning weights
LEARNING_RATE=1.0  # The learning rate in gradient decent
WEIGHT_DECAY=0.1   # The scale of weight decay

for i in 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5 0.6 0.7 0.8 0.9; do
    LOG_FILE=log_${i}.txt
    echo -n "Initial similarity ${i} ... "
    ${PYTHON} ${CURDIR}/${HOPNET} --num_neurons ${N_NEURONS} \
              --num_patterns ${N_PATTERNS} \
              --num_steps ${N_STEPS} \
              --similarity ${i} \
              --num_updates ${N_UPDATES} \
              --learning_rate ${LEARNING_RATE} \
              --weight_decay ${WEIGHT_DECAY} \
              --log_file ${LOGDIR}/${LOG_FILE}
    echo "done"
done